SlideShare uma empresa Scribd logo
1 de 138
Slides
 http://www.slideshare.net/phdcareers/

  http://prezi.com/ugn43malcumr/dkfz-
   careers-in-bioinformatics-day-2012/


          Feedback
https://www.surveymonkey.com/s/bioi
         nformaticscareerday
Scientific Career Development

                 Bioinformatics Career Day
Dr. Barbara Janssens

May 2012
Bioinformatics Career Day




23-May-12   Page 2   Barbara Janssens   PhD Career Service
http://www.ebi.ac.uk/training/careerday
    p                        g         y
 Email
         careers@dkfz.de

 TWEET
         www.twitter.com
         #bxcareers

 Slides
         http://www slideshare net/phdcareers/presentations
          http://www.slideshare.net/phdcareers/presentations

 Feedback
         https://www.surveymonkey.com/s/bioinformaticscareerday

 Feel free to use our „internet cafe“ in the back
                                 cafe
23-May-12   Page 3   Barbara Janssens   PhD Career Service
PhD Career Development
                  p

                                                  www.dkfz.de/phd/Careers.html
                                                  www dkfz de/phd/Careers html

                                                www.facebook.com/phdcareers




                                               Concept: Career as
                                    „Scientific life beyond the lab“


23-May-12   Page 4   Barbara Janssens   PhD Career Service
Career Development
              p
            Target group 900 scientists at DKFZ (Masters, PhD, PostDocs)
            C
             Career D
                    Development:
                        l     t
                  Platform, tools and information
                  Initiative and needs come from scientists
                  What to pack in your suitcase for the next step          A


             Supervisor/Mentor
                                             Advisor                        B


                                                                …


                                                                            C
23-May-12    Page 5     Barbara Janssens   PhD Career Service
My career network
  y



                                                                      Playground
                                                                      network


Graduate school




                                         Teaching            Editor
23-May-12   Page 6   Barbara Janssens   PhD Career Service
Careers Service Milestones




23-May-12   Page 7   Barbara Janssens   PhD Career Service
Heidelberg Career Calendar
http://tinyurl.com/5wuerfx




23-May-12   Page 8   Barbara Janssens   PhD Career Service
Career destination
                      Plan A vs Plan B




                           Adapted from Gerd Altmann www.pixelio.de

23-May-12   Page 9   Barbara Janssens      PhD Career Service
DKFZ PhD students want…




23-May-12   Page 10   Barbara Janssens   PhD Career Service
„Freedom
„Freedom“ in Academia
     Temporary contracts and grants
             You have to plan funding for next year

     But freedom is relative




23-May-12   Page 11   Barbara Janssens   PhD Career Service
„Safety in
„Safety“in Industry

    Permanent contracts possible (often after trainee)

    But also planning:
             Appraisals („Mitarbeitergespräche“)
             Projects
             Funding
             Mergers and restructuring
             Moving (Asia…)
                    g(       )

    Safety is relative




23-May-12   Page 12   Barbara Janssens   PhD Career Service
Non academic
Non-academic jobs
    You can do everything!
    Research in Industry (big pharma/small biotech)
    Research/Project Management
    Publishing, medical writing, journalism
    Science communication and public relations
    Patents
    Teaching
    Sales and Marketing
    Consulting
     Co su g
    Clinical trials and applications
    Informatics

23-May-12   Page 13   Barbara Janssens   PhD Career Service
Bioinformatics positions
Academic (publish!)                                          System Analyst / Engineer

Core facility                                                Technical Support

Training                                                     Database        Designer    /

IT                                                            Administrator

Software                                                     Applications Analyst

Biostatistics -> industry                                    P
                                                               Programmer

Topics                                                       Marketing
                                                                       g
     Medical/clinical research                               …
     Sequencing/high
            throughput screening
23-May-12   Page 14   Barbara Janssens   PhD Career Service
Job hunting…




                                                     Richard Bolles, What Color Is Your Parachute?
23-May-12   Page 16   Barbara Janssens   PhD Career Service
Networking!

    Start now! Look for INFORMATION

    Learn to present yourself

    Ask people about their work/life

    Make info dates for 10 minutes

    Send a personal „thank you“ so people remember you
                            you

    Work on your skills – more important to take INITIATIVE than
       increasing KNOWLEDGE or certificates



23-May-12   Page 17   Barbara Janssens   PhD Career Service
Life/work Planning L/W-P
                  g

                                                         It´s easier to act yourself
                                                                             y
   France: Daniel Porot
                                                         into a new way of thinking,
             www.porot.com
                                                         than it is to think yourself
             www careergames com
              www.careergames.com
                                                         into
                                                         i t a new way of acting.
                                                                             f ti
   Germany: John Webb
             www.life-work-planning.de
                                                                   Richard Nelson Bolles
             www.lwp-seminare.de

   US: Richard N. Bolles
             www.jobhuntersbible.com

   DKFZ WORKSHOPS
             Sat 07.07.2012 English (John Web)

23-May-12   Page 18   Barbara Janssens   PhD Career Service
LIKE this page!                                   www.facebook.com/phdcareers




23-May-12   Page 19   Barbara Janssens   PhD Career Service
5/23/2012




            Bioinformatik HUSAR (W180)
            Core Facility Genomics Proteomics

            Bioinformatics Career Day
Topics in Bioinformatics


            There are two fundamental ways of modeling a Biological system (e.g., living cell)

            Static
                  Sequences – Proteins, Nucleic acids and Peptides
                  Structures – Proteins, Nucleic acids, Ligands (including metabolites and drugs) and
                        Peptides
                  Interaction data among the above entities including microarray data and Networks of
                        proteins, metabolites

            Dynamic
                Systems Biology comes under this category including reaction fluxes and variable
                     concentrations of metabolites
                Multi-Agent Based modeling approaches capturing cellular events such as signaling,
                     transcription and reaction dynamics

            A broad sub-category under bioinformatics is structural bioinformatics.




5/23/2012 | Page 2       Karl-Heinz Glatting      Bioinformatik HUSAR
Bioinformatics at DKFZ

Structure DKFZ
• Research: 70 departments and research groups in 7 research programs
• Service: 6 Core Facilities


My beginning 1994 – almost no bioinformatics , but statistics and IT core
  facility
Now:
Search for „Bioinformatics“ at the DKFZ home page:
2231 Results for "bioinformatics“
e.g.
• Software
• ... for local installation. web cellHTS is accessible at: http://web-
  cellhts2.dkfz.de Please cite when using web cellHTS: Pelz O, Gilsdorf M,
  Boutros M. (2010). web cellHTS2: a web-application for the analysis of high-
  throughput screening data. BMC Bioinformatics 11:185.

5/23/2012 | Page 3   Karl-Heinz Glatting     Bioinformatik HUSAR
Bioinformaticians in Research and Service at DKFZ

• Research groups at DKFZ with bioinformaticians:
      • Theoretical Bioinformatics (IBIOS) - Prof. Dr. Roland Eils
      • Division of Systems Biology and Signal Transduction - Prof. Dr. Ursula
          Klingmüller
      •   Signaling and Functional Genomics - Prof. Dr. Michael Boutros
      •   Molecular Genetics - Prof. Dr. Peter Lichter
      •   Molecular Genome Analysis - PD. Dr. Stefan Wiemann
      •   Translational Oncology - Prof. Dr. Christof von Kalle
      •   More coming

• Core Facility Genomics & Proteomics have bioinformaticians mainly in the
  Sequencing group and the Bioinformatics (HUSAR) group




5/23/2012 | Page 4       Karl-Heinz Glatting   Bioinformatik HUSAR
IBIOS – Prof. Dr. Eils

• iBioS - short for integrative Bioinformatics and Systems Biology - works on
  the development of computer-assisted methods for the analysis of complex
  data generated in the modern life sciences and develops mathematical
  models for key cellular processes, for example in the context of virus
  infection or cancer. Theoretical projects are carried out in close
  collaboration with the experimental groups focusing on cellular death
  pathways.
• Areas of major interest include:
    • Modeling and simulation of cellular systems
    • Data mining in molecular genetics and next generation sequencing
    • Data management for high-throughput technologies and medical
      samples
    • Quantitative monitoring of intra-cellular processes using light-microscopy
    • Biomedical computer vision



5/23/2012 | Page 5   Karl-Heinz Glatting    Bioinformatik HUSAR
Other fields related to Bioinformatics at DKFZ

• Division of Medical and Biological Informatics - Prof. Dr. Hans-Peter
  Meinzer
   • imaging technologies such as computer tomography, magnetic
     resonance tomography, and ultrasound.



• Division of Biophysics of Macromolecules - Prof. Dr. Jörg Langowski
      • three-dimensional organization in the cell: DNA and chromatin global
         structure




5/23/2012 | Page 6    Karl-Heinz Glatting   Bioinformatik HUSAR
Hot Topics

• Analysis Next Generation Sequencing Data

• Mutation Analysis (SNPs, CNVs, …)

• Data Integration

• Systems Biology




5/23/2012 | Page 7   Karl-Heinz Glatting   Bioinformatik HUSAR
Academia or Service

• Academic Career: In research groups it is easier to get
  publications, maybe problem with first author/last author
  publications
• Service: mostly no publications, but experience in certain fields
  like Next Generation Sequencing, …
• Important: Networks, discussion groups, …




5/23/2012 | Page 8   Karl-Heinz Glatting    Bioinformatik HUSAR
LinkedIn




5/23/2012 | Page 9   Karl-Heinz Glatting   Bioinformatik HUSAR
Bioinformatics.org




5/23/2012 | Page 10   Karl-Heinz Glatting   Bioinformatik HUSAR
Background of People working in Bioinformatics

• Biologists, informatics, mathematicians, physicists,
     medical scientists converted to Bioinformaticians

• Bioinformaticians, Biomathematicians, Computational
     Biologists – now that specialised studies are possible




5/23/2012 | Page 11     Karl-Heinz Glatting   Bioinformatik HUSAR
Example HUSAR




Example Service Bioinformatics (HUSAR)




5/23/2012 | Page 12   Karl-Heinz Glatting   Bioinformatik HUSAR
Bioinformatics (HUSAR) Tools and Databases

• HUSAR               (Sequence Analysis Environment):


• SRS            (Sequence Retrieval System)


• Mascot Server                        (Database searches with mass spec data or peptide sequencing
     data)


• Pipelines (e.g. SNP analysis, protein analysis)


• CNV programs (PennCNV, QuantiSNP)


• NGS software



5/23/2012 | Page 13     Karl-Heinz Glatting   Bioinformatik HUSAR
Bioinformatics (HUSAR) Service includes

      • Bioinformatics consulting/support


      • Bioinformatics and NGS analysis courses


      • Software implementation
      • Tools for Microarray analysis
      • NGS mapping and annotation


      • Scripting (e.g. Genome analysis with Ensembl)


      • Development of bioinformatics analysis pipelines, which are
          complex analysis program combining different bioinformatics
          applications connected by rules



5/23/2012 | Page 14   Karl-Heinz Glatting   Bioinformatik HUSAR
End




Thank you for your attention




5/23/2012 | Page 15   Karl-Heinz Glatting   Bioinformatik HUSAR
The European Bioinformatics Institute




                               EMBL-EBI
Katrina Pavelin
Scientific Outreach Officer
                               Services | Research | Training | Industry
katrina@ebi.ac.uk
What is EMBL-EBI?




•   Bioinformatics Research & Service Institute
•   Non-profit organisation
•   Part of the European Molecular Biology Laboratory

                                                        EMBL-EBI
The five branches of EMBL
Heidelberg               Hamburg             Hinxton




• Basic research in     Structural biology   Bioinformatics
  molecular biology
• Administration         Grenoble            Monterotondo
• EMBO


•   1500 staff
•   >60 nationalities
                        Structural biology   Mouse biology




                                                              EMBL-EBI
EMBL-EBI’s Mission
•   To provide freely available data and bioinformatics services to all
    facets of the scientific community in ways that promote scientific
    progress
•   To contribute to the advancement of biology through basic
    investigator-driven research in bioinformatics
•   To provide advanced bioinformatics training to scientists at all levels,
    from PhD students to independent investigators
•   To help disseminate cutting-edge technologies to industry
•   To coordinate biological data provision across Europe




                                                             EMBL-EBI
What is bioinformatics?
• The science of storing,
  retrieving and                                  Growth of raw storage
  analysing large                                at EMBL-EBI (in terabytes)
  amounts of biological                  12000

  information                            10000

                                          8000
• An interdisciplinary

                            Disks (TB)
                                          6000
  science, involving
                                          4000
  biologists, computer
  scientists and                          2000


  mathematicians                             0



• At the heart of modern                                    Year

  biology

                                                                   EMBL-EBI
Services
www.ebi.ac.uk/services




                         EMBL-EBI

                         Services | Research | Training | Industry
Databases: molecules to systems                       Literature and ontologies
   Genomes                                             UKPMC, CiteXplore, GO
    Ensembl
Ensembl Genomes                                           Protein families,
      EGA                                                motifs and domains
  Metagenomics                                                 InterPro
      portal                   Functional
                               genomics
                                                                  Macromolecular
                              ArrayExpress
 Nucleotide sequence                                                 structure
                             Expression Atlas
         ENA                                                           PDBe

         Protein activity
          IntAct, PRIDE                                                  Pathways
                                                                         Reactome
               Protein Sequences
                     UniProt

                            Chemical entities
                                ChEBI
                                                                        Systems
                                      Chemogenomics                    BioModels
                                         ChEMBL                        BioSamples


                                                               EMBL-EBI
EBI’s search service
                                    Access from the
                                    EBI’s homepage



                                              Species selector
                                               allows for easy
                                                 comparison




Data organised
according to:
• gene                     Explore data,
• expression              return easily to
• protein                   your results
• structure
• literature

                                             EMBL-EBI
Research
www.ebi.ac.uk/groups




                       EMBL-EBI

                       Services | Research | Training | Industry
Key facts about research at EMBL-EBI
• A unique
  environment for
  bioinformatics
  research
• Nine dedicated
  research groups
• Services teams also
  carry out R&D
• Research and
  services are mutually
  supportive

                                  EMBL-EBI
Training
www.ebi.ac.uk/training




                         EMBL-EBI

                         Services | Research | Training | Industry
Pre- and postdocs at EMBL-EBI




• EMBL International PhD Programme
• Postdoctoral fellowships:
   • EIPOD – EMBL-sponsored interdisciplinary fellowships
   • ESPOD – EBI–Sanger combined experimental and
     computational fellowships

                                                 EMBL-EBI
EMBL-EBI
1
4
    EMBL-EBI
Thank you!


             EMBL-EBI
Advanced Training @ EMBL



Dr. Helke Hillebrand
Dean of Graduate Studies
European Molecular Biology Laboratory
Training at all Levels: EICAT @ EMBL
    EMBL International Center for Advanced Training
                                                 EIPOD




                               EMBL Postdoc               ELLS (European
        EMBL International     Programme                  Learning Lab for
        PhD Programme &                                   the Life Sciences)
        EMBL Collaborative
        Training Programme


                                              EMBO EMBL
                                              Symposia

      EMBL Visitors' & Scholars' Programme
2   Helke Hillebrand 08/2010                                EMBL Courses &
                                                            Conferences
Predocs

                      EMBL International PhD Programme
                                   EIPP




3   Helke Hillebrand 08/2010
                     03/2009
What can Predocs do at EMBL?

    Biology
    Chemistry
    Physics
    Mathematics
    Informatics
    Engineering
    Molecular Medicine

    www.embl.org/phdprogramme
    www.embl.org/postdocs
    www.embl.org.jobs




4   Helke Hillebrand 08/2010
                     03/2009
Life of a Predoc at EMBL in a nutshell

     Highly competitive entry for >50 students per year; recruiting globally
     Expected to complete PhD studies within 3.5 – 4 years
     Tailor-made mentoring
            – Individual thesis advisory committee (TAC) to meet with annually
            – Complemetary skills training curriculum for individual choices

     Maintaining scientific links back home while joining EMBL
            – External TAC member from home university
            – Students ambassador programme

     Training all along
            –    Core course (1st year)
            –    Bioinformatics course (2nd year)
            –    Scientific lectures and seminar series
            –    Science & Society seminars and conferences
     Fostering early independence
            – Predoc symposium
            – Predoc retreat



5   Helke Hillebrand 08/2010
                     03/2009
Key performance indicators of a PhD at EMBL




                               Graduation ceremony at EMBL in December, 2008


6   Helke Hillebrand 08/2010
                     03/2009
Key performance indicators of a PhD at EMBL

     Application rate is at about 20:1
     Predoc to supervisor ratio is on average 2:1
     It takes about 3.5 – 4 years to finish a PhD
     Thesis submission rate of > 95% (predoc data since 1993)
     Majority of EIPP predocs obtains a doctoral degree with
      distinction (>75%)
     Broad network of partner universities for joint degrees
     Excellent publication record
            – 90% of predocs of a given class get (a) publication(s) from their PhD
            – Predocs publish on average 2 papers on their PhD thesis topic


7   Helke Hillebrand 08/2010
                     03/2009
What do EIPP students do after their PhD?
     (Data from students who defended since 01/2004)



                    Scientific careers
                    outside research (13%)


                                    18
                                9
    Private sector
                                                       Academic
    research (7%)
                                                       research (80%)
                                           108




8    Helke Hillebrand 08/2010
Postdocs

                EMBL Interdisciplinary Postdocs EIPOD

                          Classical Postdoctoral Stream
                         Spanish Postdoctoral Programme




9   Helke Hillebrand 08/2010
                     03/2009
The Postdoc community at EMBL
      About 220 Postdocs steady state; about 25% annual turnover
      Maximum duration of stay is 5 years; average duration is 4 years
      Entry routes – recruiting globally:
             – Classical Postdoctoral Stream (intake of 25-30 p.a.)

             – EMBL Interdisciplinary Postdocs (EIPOD ; intake of 20 p.a.)

             – EBI-Sanger Postdoctoral Programme (ESPOD (intake of 2 p.a.)

             – Spanish Postdoctoral Programme (intake of ~2 p.a.)

      Individual mentoring; 2nd mentor scheme
      Offering individual career development
      Postdocs account for about 30% of the EMBL alumni


10   Helke Hillebrand 08/2010
                      03/2009
EMBL Interdisciplinary Postdocs (EIPOD)

                                Features
                                 Interdisciplinary research project
                                 Full three years of funding
                                 Open to all nationalities
                                 Hosted in two different labs at the five
                                  EMBL sites
                                 Postdocs to develop own project proposals
                                 Marie Curie CO-FUNDing in 2009-2013
                                  and 2012-2016
                                 Next call opens in June 2012
                                 www.embl.de/postdocs
11   Helke Hillebrand 08/2010
What do Postdocs do after EMBL?
     (Data from 921 postdocs whose whereabouts are known)


                                Scientific careers
                                outside research
                                (1%)
                                                 32
                                                       Non-scientific careers (3%)
                                         90
      Private sector
      research (10%)                            13




                                                      786        Academic
                                                                 research (85%)

12   Helke Hillebrand 08/2010
Complementary skills training

              How to balance between ‚too much vs. not enough‘ ?
                       The right thing at the right time...
                                        -
                    And what to do after PhD and Postdoc?




13   Helke Hillebrand 08/2010
                      03/2009
Participating in non-scientific training activities
      Language training (German, English, French)
      IT courses (Microsoft Office and more)
      General training and development programme
             – Personal skills
                  (time management, personal effectiveness, ...)
             – Communication skills
                  (presentation skills, scientific writing, ...)
             – Project management
             – Grant applications & interviewing skills
             – Team building & conflict management
             – ...

      Career day – insight into alternative careers
14   Helke Hillebrand 08/2010
                      03/2009
... how to avoid the Cecilia phenotype?



     Complementary skills training




15   Helke Hillebrand 08/2010
                      03/2009
Thank you!
Life as a scientific database curator


          Sandra Orchard




                EBI is an Outstation of the European Molecular Biology Laboratory.
What is a database curator

       Curator – OED

            - a keeper of a museum or other collection

            - from LATIN curare – take care of




2/17
What is a database curator

       The job
       • Creating a structure for unstructured biological data
       • Generating order from chaos
       • Combining literature and automated processes to provide
         biomolecules with correct sequence/structure,
         nomenclature, function and contextual information
       • Give biological context to large experimental datasets
       The qualification
       • Need an attention to detail which would annoy even the
         best of housemates
       • Passion for reading and understanding literature

3/17
What is a database curator

       The Pros

       • Read about and gain understanding of all areas of
         biology

       The Cons

       • No specialisation
       • Persuading biologists that there are benefits to this.




4/17
What is a database curator

• The International Society for Biocuration (ISB) definition:
...integration of information relevant to biology into a
    database or resource that enables integration of the
    scientific literature...and large experimental data sets.
• Goals are
...accurate and comprehensive representation...
...to facilitate access to data for scientists...as a resource for
    computational analysis
What does a database curator do?
Collects, annotates, and validates information (in a
database).


Extracts & organizes data from literature


Describes data using standards, protocols and
vocabularies (enabling computational queries and data
exchange).

Communicates with researchers to ensure the accuracy
of curated information and to foster good practice in data
exchange.
What does a database curator do?

            Takes part in the development of shared
            biomedical data standards and ontologies
            and (ideally) enforces their use.

            Trains users in effectively accessing and
            using the data in the databases

            Promotes database usage through talks,
            conference attendance/posters,
            publications etc…..



7/17
What do I do?

       • Curate the molecular interaction database




8/17
What do I do?




       Custom curation tools designed by the curation team


9/17
What do I do?

                        Controlled vocabulary maintenance




10/17
Qualifications for the job

        • A biology B.Sc./M.Sc./PhD + lab experience

              or

        • A bioinformatics M.Sc

        Plus – an enquiring mind, ability to write good English and
          the right attitude

        Training – largely database specific and will be given ‘on-
          the-job’



11/17
Qualifications for the job

        • Do I need to be able to do programming?

        • Answer – no. It is often helpful to have some database
          query ability but it is perfectly possible to do the job
          without (in most databases)




12/17
Career Progression

        Within the EBI
        • Progress as a curator – senior curator, curation
          coordinator

        • Project management – grant coordinator, project leader

        Post –EBI
        • Curation/project leadership positions at many other
          institutes
        • Related areas – academic research, research project
          management, lectureships, journal publishing

13/17
Will I still be allowed to publish?

        Curation
        The annotation of both human and mouse kinomes in
          UniProtKB/Swiss-Prot - (MCP)
        Data Standards
        The Minimum Information required for reporting a Molecular
          Interaction Experiment (MIMIx) – (NBT)
        Data Formats
        The HUPO PSI's molecular interaction format--a community
          standard for the representation of protein interaction data.
          – (NBT)



14/17
Will I still be allowed to publish?

        Tool development
          Rintact: enabling computational analysis of molecular
          interaction data from the IntAct repository.
          (Bioinformatics)
        Ontologies
        The use of common ontologies and controlled vocabularies
          to enable data exchange and deposition for complex
          proteomic experiments (Pac Symp Biocomput)
        Training
        Submit your interaction data the IMEx way - a step by step
          guide to trouble-free deposition (Proteomics)


15/17
Curation as a profession




16/17
Curation as a profession

        • Biocuration conference every 12 months – 2102 in
          Cambridge, UK

        • Opportunities for further training – bioinformatic tools,
          programming, career development/management

        • Attendance at biological/computational biology
          conferences encouraged – the EBI often provides
          speakers




17/17
Summary

        • Curation is not for everyone – it does require a certain
          mindset

        • Exposes you to all areas of biology (and chemistry)

        •   Now a recognised profession and our numbers are
            growing

        • Many opportunities to be become involved in “extra-
          curriculum” activities – its not all reading papers



18/17
How did I get here? My career so far...
Dr. Jennifer Cham
User Experience Analyst, EMBL-EBI (Cambridge, UK)
I studied biochemistry then bioinformatics…




                                                     Cranfield University




                                                                                                 Cranfield University
    Imperial College London




                              •  2000-2004                                  •  2004-2005                                •  2005-2009

                              •  BSc                                        •  MSc                                      •  Engineering
                                 Biochemistry                                  Bioinformatics                              Doctorate
                                                                                                                           (EngD) in
                              •  Year in industry:                          •  UK university                               Bioinformatics
                                 Merck KGaA,                                   near Milton
                                 Darmstadt,                                    Keynes                                   •  Sponsor: GSK
                                 Germany
                                                                            •  Project: BOKU,                           •  Incl. exec MBA
                                                                               Vienna, Austria




                                     June 14, 2012
2
14/06/2012
3
What do I do now?




     •    Nov 2009 joined the European Bioinformatics Institute
     •    ‘User experience Analyst’ role in bioinformatics
4
     •    Transferrable skills from my doctorate
MSc in Bioinformatics included:
      •    Computer programming (Perl, Java)
      •    Databases, SQL
      •    Tools e.g. those at the EBI website
      •    Statistics e.g. Matlab
      •    5 month project
    EngD in Proteomic Bioinformatics included:
      •    Research project!
      •    MBA for a year
      •    Bioinformatics meetings and conferences
5
      •    Multiple project supervisors including in pharma industry
At Cranfield University…




6
MSc project in cross-species microarray
bioinformatics
                           …in Vienna
Opportunities to make connections with other universities




          14/06/2012
8
Working with
    postdocs during
     the doctorate




9
Teaching, writing
     papers & reviews




           14/06/2012
10
EBI role




     My current role
           14/06/2012
11
Consulting with service teams




     14/06/2012
12
User-Centered Design e.g. card sorting




     14/06/2012
13
1-to-1 usability testing
        •    involves travelling
        •    interacting with scientists
        •    Draws in my science background




               14/06/2012
14
Capturing User Requirements: workshops, focus groups, user surveys




               14/06/2012
15
Thanks for listening…

                        16
Bioinformatics Career Day
Giulietta M. Spudich, PhD
Outreach Project Leader, Ensembl
This talk …

       •   Background (not bioinformatics!)
       •   Why I moved from research
       •   My job now, and how I got there
       •   What I like about it all




2
Background – Graduate School

    • PhD from University of California, Berkeley in Molecular
      and Cell Biology.
       •   Thesis: Interactions in the Folding Intermediate of E. coli RNase H: Comparisons
           with the Native State Ensemble

       •   Teaching:
                       • Introduction to Biochemistry Lab and Lecture (TA)
                       • Snapshots of a Protein: Methods in Detecting Protein Structure
                       • Oversaw the 7 month lab project of a Master’s Student

                       • Teaching awards (one ‘applied’ for)

Challenges: Juggling teaching and research
            Advisor wasn’t thrilled
Payoffs: Opened the door to teaching
3
Background- PostDoc

     • MRC-LMB Biochemical investigation
       of Myosin VI interactions with protein and lipid

     • Three publications       (Nature Cell Biology, Journal of Cell Biology, and
        Annual Review in Cell and Dev. Biol.)


     • Teaching:
                  • University Teaching Associate (workshops in teaching and presentation skills)
                  • Cambridge International Exams – Wrote and marked exams and course material in
                    Proteomics


    Challenges: Two jobs! Takes time …
    Payoffs: More teaching experience, exam writing, and
    increased transferable skills like giving presentations
4
Outreach for a Genomics Resource

    •   Mixes science and teaching into one job
    •   Supports research
    •   Bioinformatics resource- in an active and fascinating field
    •   Includes many different activities.
            •   Presentations/ teaching
            •   Video tutorials
            •   Helpdesk (email support)
            •   Writing help material
            •   Help with web design based on user feedback
            •   Usability testing (recent)

    Challenges: Changed fields from protein biochemistry!
    Genomics and bioinformatics! Lots to learn.
5
    Payoffs: Get to have one job now. Doing what I love.
Career Growth

    • In Feb 2011, I applied for and moved to the Ensembl
      Outreach Team Leader position.

    • New job duties:
           •   Manage a team of 3 people
           •   Strategy and management meetings
           •   Decide directions and focus of our Outreach
           •   Train new members
           •   Maintain teaching and support

    Challenges: Management is a new experience. A new
          challenge! (EMBL courses help!)
    Payoffs: Stimulating, I develop new skills, and what I do
          has more impact on our project.
6
What worked for me?
     •   Working hard
     •   Following what I loved to do
     •   Finding out what others do in their jobs (career paths)
     •   Sticking with an interesting and active project/field
     •   Recognising that scientific careers extend beyond basic
         research



         Follow your heart! What do you find fulfilling?



7
Bioinformatics Career Day
24 May 2012




Felix Klein
Background


    • physics diploma, University of Heidelberg



    • diploma thesis in radiation dosimetry
      at DKFZ


    • measurements at HIT




2      24.05.2012     Felix Klein
Why bioinformatics?


    • interdisciplinary

    • programmed in R

    • worked on data analysis




3      24.05.2012         Felix Klein
Progress in science is driven by technology




4     24.05.2012   Felix Klein
Chromatin loops




5     24.05.2012   Felix Klein
Investigation of chromatin 3D structure
    • role of chromatin 3D structure in gene regulation

    • 4C to investigate detailed interactions of
      cis-regulatory modules (CRMs)

    • global chromatin interactome using HiC




6      24.05.2012      Felix Klein
Investigation of chromatin 3D structure




7     24.05.2012   Felix Klein
Automated analysis of microscopy based
     RNAi screens
                                                                                                                      Features
                    Imaging                             Segmentation                                                  extraction




 Source image                       Calibrated image                            Segmentation mask
      9.241719
       g.pd




                                                                                  g.x        g.y     g.s g.p     g.pdm
      g.s g.p
      194 67




                                                                         [1,]   123.1391   3.288660 194 67      9.241719
                                                                         [2,]   206.7460   9.442248 961 153    20.513190
                                                                         [3,]   502.9589   7.616438 219 60      8.286918
                                                                         [4,]    20.1919 22.358418 1568 157    22.219461
      3.288660




                                                                         [5,]   344.7959 45.501992 2259 233    35.158966
                 Summary                               Classification    [6,]   188.2611 50.451863 2711 249    28.732680
        g.y




                                                                         [7,]   269.7996 46.404036 2131 180    26.419631
                              aft       apt   neg                        [8,]   106.6127 58.364243 1348 143    21.662879
                                                                         [9,]   218.5582 77.299007 1913 215    25.724580
                                                                        [10,]    19.1766 81.840147 1908 209    26.303760
      123.1391




                                                                        [11,]     6.3558 62.017647 340 68      10.314127
        g.x




                                                                        [12,]    58.9873 86.034128 2139 214    27.463158
                                                                        [13,]   245.1087 94.387405 1048 123    18.280901
                                                                        [14,]   411.2741 109.198678 2572 225   28.660816
                              int       pos                             [15,]
                                                                        [16,]
                                                                                167.8151 107.966014 1942 160
                                                                                281.7084 121.609892 2871 209
                                                                                                               24.671533
                                                                                                               31.577270


Phenotypic profile             Objects labels                                        Object features


 8
What was important for me?
    • bioinformatics group with
      members of diverse
      backgrounds

    • PI who successfully
      trained bioinformaticians

    • well established group in
      bioinformatics




9      24.05.2012      Felix Klein
What might be interesting for you
     • turn data into biology

     • interaction with people from biology groups

     • communication skills !!!

     • workload divides mainly into:
        • programming (50 %)
        • reports, meetings, email




10      24.05.2012        Felix Klein
Acknowledgements
Wolfgang Huber
Simon Anders
Joseph Barry
Bernd Fischer
Julian Gehring
Aleksandra Pekowska
Paul Theodor Pyl
Alejandro Reyes
Maria Secrier

Collaborators:
Michael Boutros
Christian Volz

Eileen Furlong
Yad Ghavi Helm



11     24.05.2012     Felix Klein
Data production rates
LHC: 1.8 GB / s at peak capacity (i.e. actively conducting a
primary aspect of the LHC’s four main experiments: ATLAS,
ALICE, CMS, and LHCb).
These experiments will take roughly a decade to complete, and
each of them is expected to produce over a 1 PB per year of
data.

One Illumina HiSeq: up to 600 Gb/run , i.e. ~600 GB/10 days =
18 TB/year (not including derived data e.g. BAM)
One Digital Embryo (2008): 3.5 TB (2048 x 2048 x 370 x 1226)
EMBL-EBI: in 9/2011, data storage capacity was 14 PB
Training and Life as a Postdoc (in case of Kota)


          EMBL-EBI / DKFZ Bioinformatics Career Day




                                            Kota Miura (miura@embl.de)

                                            Centre for Molecular and Cellular Imaging,
                                            EMBL Heidelberg, Germany


                                            May 24, 2012 DKFZ, Heidelberg



Kota Miura (miura@embl.de)
Overview of CMCI (2006 - )


  Image Processing & Analysis…
                                               Teaching in many places:
                                               EU (EMBO courses), Germany, Japan,
               - Teaching Courses              France, Switzerland, Austria, Italy,
                                               Finland, Sweden, Singapore, Spain
               - Organize seminars
               - Consulting & Collaborations
               - Developments
               - Research
Consulting & Collaborations                       Recursive Model



 Project Model 1
  Experiments -> Microscopy -> Image Processing -> Image Analysis




  Project Model 2
                           Microscopy

         Experiments                       Image Analysis

                        Image Processing
Centre for Molecular and Cellular Imaging (CMCI) @EMBL

    The Concept of CMCI network
                                                                                Facilities
                                                             Research Units     e.g. ALMF
    1. Tree-like human resources structure in EMBL


    2. Association of researchers crossing over different labs and units
              “CMCI as a meta-system, network”


       EMBL
                             Cell Bio. & Biophysics    Dev. Bio.              Genome

        Units


       Groups




Kota Miura (miura@embl.de)                            CMCI
Background
                1989 – 1993: International Christian University (Tokyo, Undergraduate)
                             social behavior of monkeys, macaca (field research )
                             cucumber stomata development (video microscopy)


                1993 – 1996: Osaka University (Osaka, Master)
                             single cell migration, physarum                     8 years of
                                                                                 graduate school!!

                1996 – 2001: Zoological Institute, LMU (Munich, Ph.D.)
                             multicellular migration, dictyostelium phototaxis


                2001 – 2005: Cell Biology and Biophysics, EMBL (PosDoc, Heidelberg)
                             phototaxis + vesicle dynamics + image analysis + simulation


                2005 – : Centre for Molecular and Cellular Imaging, EMBL (Heidelberg)
                             Image processing & Analysis, Simulations
Kota Miura (miura@embl.de)
Zoological Institute, LMU




Kota Miura (miura@embl.de)
- What attracted you to this position?

- I like to analyze things. My job fits to this. Computer is a great tool for analysis.

- What do you enjoy most about your job?

- Satisfies curiosity in many directions. In depth discussion with people.
Resulting beautiful plots. Coding is like gardening.

- What skills are useful in your role?

- Knowledge on biology, physiology, analytical chemistry, programming. Many
more skills I need but missing still.
Bioinformatics Career Day 2012




    Shinichi Sunagawa
    Bork Group
    www.sunagawa.de
    EMBL Heidelberg
                            EBI / DKFZ: Bioinformatics Career Day – 24 May 2012
Current Role
Since Jan 2012 (after 1.5 years postdoc)
• Research Scientist at Bork Group: Computational Biology
   - Network biology
   - Comparative genomics
   - Metagenomics

• Responsibilities
   - coordinate / manage metagenomics projects




       Qin et al. 2010, Nature; Arumugam et al. 2011, Nature   Karsenti et al. 2011, PLoS Biology

    - support progress of PhD students and postdocs
    - own research projects
                                                                    EBI / DKFZ: Bioinformatics Career Day – 24 May 2012
Background / atypical career path?
Diploma - Biochemistry
MSc / PhD - Aquatic Ecology / Quantitative and Systems Biology




                                       Started programming in 2006


                            PhD 2010

                                       EBI / DKFZ: Bioinformatics Career Day – 24 May 2012
Today and outlook
Typical activity
  - using and developing programs to analyze DNA sequencing data
                          What attracted me to this position?
                             • exciting projects
                             • from data generation to data analysis
                             • diversification of skill-set
                             • springboard to independent researcher

What do I enjoy most about my job?
   • perspective to find out something useful




Two cents for future bioinformaticians:
    • in many, if not most areas of biology, computers keep gaining importance
                                         EBI / DKFZ: Bioinformatics Career Day – 24 May 2012
Yann Abraham
                          Novartis, Basel




http://prezi.com/ugn43malcumr/dkfz‐careers‐in‐bioinformatics‐day‐2012/
Bioinformatics Career Day
                                         24.05.2012




Dr. Matthias Scherf
Genomatix Software GmbH
Bayerstrasse 85a. 80335 Munich
http://www.genomatix.com

  www.genomatix.com                                          © 2012 Genomatix
2




 My Background:

     Diploma in Informatics / theoretical Medicine (minor)
     (Technical University Munich)


     PhD (Dr. rer. nat)
     Helmholtz Zentrum Munich/TU Munich


     2 years Postdoc
     Helmholtz Zentrum Munich



    Since 2000 Genomatix Software GmbH




www.genomatix.com                                            © 2012 Genomatix
3



 My career-path at Genomatix

      Development & Pre-sales
                    Genome wide promoter prediction
                    Mapping algorithms (RNA to DNA)
                    Support of sales team by scientific talks


      Head of Discovery (heading a group of 5 Employees)
                    Genome annotation pipeline and comparative genomics
                    Literature & pathway analysis
                    microArray and NGS data analysis



      CTO (Managing director)



www.genomatix.com                                                         © 2012 Genomatix
4



 My responsibilities
      Strategic decisions
                    In-house developments
                    Integration of third party tools
                    Data background
                    Infrastructure

      Oversee developments

      Define work packages for public funded projects


      Suggest data analysis solutions for consulting projects


      Do presentations



www.genomatix.com                                               © 2012 Genomatix
5




 Why Bioinformatics ?
          Interest in Medicine / Biology
          Understanding (disease) mechanisms at “DNA level”

 What I like about my job
          Working in an interdisciplinary environment
          Finding creative solutions for individual challenges
          Close contact to the scientific community
          Teaching / Consulting


 Ok… not everything is great
          Lots of administration / paper work…
          Only little time for programming/science left

www.genomatix.com                                                © 2012 Genomatix
6



   Genomatix
            Offers NGS data analysis solutions & consulting


                           Level 1                                  Level 2




                       Mapping, Clustering,                     Functional analysis
                                                 Results
                        Variant detection,
Short sequence reads       Annotation
                                                                                          Value
       (billions)




                       Genome annotation      Gene regulation   Literature & Pathway
                           database             database              database

                                              Databases

  www.genomatix.com                                                                    © 2012 Genomatix
Bioinformatics Career Day

Mais conteúdo relacionado

Semelhante a Bioinformatics Career Day

An Applied Approach Marketing Research An Applied Approach Updated Second Eur...
An Applied Approach Marketing Research An Applied Approach Updated Second Eur...An Applied Approach Marketing Research An Applied Approach Updated Second Eur...
An Applied Approach Marketing Research An Applied Approach Updated Second Eur...Faith Brown
 
How to Prepare for a Career in Data Science
How to Prepare for a Career in Data ScienceHow to Prepare for a Career in Data Science
How to Prepare for a Career in Data ScienceJuuso Parkkinen
 
Watching the workers: researching information behaviours in, and for, workplaces
Watching the workers: researching information behaviours in, and for, workplacesWatching the workers: researching information behaviours in, and for, workplaces
Watching the workers: researching information behaviours in, and for, workplacesHazel Hall
 
Transcript of Webinar: Data management plans (DMPs) - audio
Transcript of Webinar: Data management plans (DMPs) - audioTranscript of Webinar: Data management plans (DMPs) - audio
Transcript of Webinar: Data management plans (DMPs) - audioARDC
 
Getting Up to Speed with R: Certificate Program in R for Statistical Analysis...
Getting Up to Speed with R: Certificate Program in R for Statistical Analysis...Getting Up to Speed with R: Certificate Program in R for Statistical Analysis...
Getting Up to Speed with R: Certificate Program in R for Statistical Analysis...Revolution Analytics
 
Career Options Life Scientist 04Jun10
Career Options Life Scientist 04Jun10Career Options Life Scientist 04Jun10
Career Options Life Scientist 04Jun10Gary M. Myles, Ph.D.
 
Explain the role of the nurse as a knowledge worker.docx
Explain the role of the nurse as a knowledge worker.docxExplain the role of the nurse as a knowledge worker.docx
Explain the role of the nurse as a knowledge worker.docxwrite31
 
2016 ACS Semantic Approaches for Biochemical Knowledge Discovery
2016 ACS Semantic Approaches for Biochemical Knowledge Discovery2016 ACS Semantic Approaches for Biochemical Knowledge Discovery
2016 ACS Semantic Approaches for Biochemical Knowledge DiscoveryMichel Dumontier
 
Grants Start Writing
Grants Start WritingGrants Start Writing
Grants Start Writingrawnrg
 
Outstanding women in analytics 2017
Outstanding women in analytics 2017Outstanding women in analytics 2017
Outstanding women in analytics 2017metabrown
 
PhD Projects in Biomedical Research Help
PhD Projects in Biomedical Research HelpPhD Projects in Biomedical Research Help
PhD Projects in Biomedical Research HelpPhD Services
 
Mind the Gap: Reflections on Data Policies and Practice
Mind the Gap: Reflections on Data Policies and PracticeMind the Gap: Reflections on Data Policies and Practice
Mind the Gap: Reflections on Data Policies and PracticeLizLyon
 
Data For Policy Influence: How to Manage, Distribute, and Present Your Data
Data For Policy Influence: How to Manage, Distribute, and Present Your DataData For Policy Influence: How to Manage, Distribute, and Present Your Data
Data For Policy Influence: How to Manage, Distribute, and Present Your DataForum One
 
Acting as Advocate? Seven steps for libraries in the data decade
Acting as Advocate? Seven steps for libraries in the data decadeActing as Advocate? Seven steps for libraries in the data decade
Acting as Advocate? Seven steps for libraries in the data decadeLizLyon
 

Semelhante a Bioinformatics Career Day (17)

An Applied Approach Marketing Research An Applied Approach Updated Second Eur...
An Applied Approach Marketing Research An Applied Approach Updated Second Eur...An Applied Approach Marketing Research An Applied Approach Updated Second Eur...
An Applied Approach Marketing Research An Applied Approach Updated Second Eur...
 
How to Prepare for a Career in Data Science
How to Prepare for a Career in Data ScienceHow to Prepare for a Career in Data Science
How to Prepare for a Career in Data Science
 
Watching the workers: researching information behaviours in, and for, workplaces
Watching the workers: researching information behaviours in, and for, workplacesWatching the workers: researching information behaviours in, and for, workplaces
Watching the workers: researching information behaviours in, and for, workplaces
 
Transcript of Webinar: Data management plans (DMPs) - audio
Transcript of Webinar: Data management plans (DMPs) - audioTranscript of Webinar: Data management plans (DMPs) - audio
Transcript of Webinar: Data management plans (DMPs) - audio
 
Getting Up to Speed with R: Certificate Program in R for Statistical Analysis...
Getting Up to Speed with R: Certificate Program in R for Statistical Analysis...Getting Up to Speed with R: Certificate Program in R for Statistical Analysis...
Getting Up to Speed with R: Certificate Program in R for Statistical Analysis...
 
Parsons "Data Discoverability"
Parsons "Data Discoverability"Parsons "Data Discoverability"
Parsons "Data Discoverability"
 
Career Options Life Scientist 04Jun10
Career Options Life Scientist 04Jun10Career Options Life Scientist 04Jun10
Career Options Life Scientist 04Jun10
 
Explain the role of the nurse as a knowledge worker.docx
Explain the role of the nurse as a knowledge worker.docxExplain the role of the nurse as a knowledge worker.docx
Explain the role of the nurse as a knowledge worker.docx
 
2016 ACS Semantic Approaches for Biochemical Knowledge Discovery
2016 ACS Semantic Approaches for Biochemical Knowledge Discovery2016 ACS Semantic Approaches for Biochemical Knowledge Discovery
2016 ACS Semantic Approaches for Biochemical Knowledge Discovery
 
Grants Start Writing
Grants Start WritingGrants Start Writing
Grants Start Writing
 
Outstanding women in analytics 2017
Outstanding women in analytics 2017Outstanding women in analytics 2017
Outstanding women in analytics 2017
 
PhD Projects in Biomedical Research Help
PhD Projects in Biomedical Research HelpPhD Projects in Biomedical Research Help
PhD Projects in Biomedical Research Help
 
2011phdfair orgs9 08_11
2011phdfair orgs9 08_112011phdfair orgs9 08_11
2011phdfair orgs9 08_11
 
Mind the Gap: Reflections on Data Policies and Practice
Mind the Gap: Reflections on Data Policies and PracticeMind the Gap: Reflections on Data Policies and Practice
Mind the Gap: Reflections on Data Policies and Practice
 
Data For Policy Influence: How to Manage, Distribute, and Present Your Data
Data For Policy Influence: How to Manage, Distribute, and Present Your DataData For Policy Influence: How to Manage, Distribute, and Present Your Data
Data For Policy Influence: How to Manage, Distribute, and Present Your Data
 
Acting as Advocate? Seven steps for libraries in the data decade
Acting as Advocate? Seven steps for libraries in the data decadeActing as Advocate? Seven steps for libraries in the data decade
Acting as Advocate? Seven steps for libraries in the data decade
 
2016 davis-biotech
2016 davis-biotech2016 davis-biotech
2016 davis-biotech
 

Mais de phdcareers

Publishing Career Day Presentation AM
Publishing Career Day Presentation AMPublishing Career Day Presentation AM
Publishing Career Day Presentation AMphdcareers
 
E3 life as a ux analyst (jenny_cham)
E3 life as a ux analyst (jenny_cham)E3 life as a ux analyst (jenny_cham)
E3 life as a ux analyst (jenny_cham)phdcareers
 
P3 training and_life_as_a_postdoc_(felix_klein)
P3 training and_life_as_a_postdoc_(felix_klein)P3 training and_life_as_a_postdoc_(felix_klein)
P3 training and_life_as_a_postdoc_(felix_klein)phdcareers
 
P2 training and_life_as_a_postdoc_(kota_miura)
P2 training and_life_as_a_postdoc_(kota_miura)P2 training and_life_as_a_postdoc_(kota_miura)
P2 training and_life_as_a_postdoc_(kota_miura)phdcareers
 
E2 life as_a_scientific_database_curator_(sandra_orchard)
E2 life as_a_scientific_database_curator_(sandra_orchard)E2 life as_a_scientific_database_curator_(sandra_orchard)
E2 life as_a_scientific_database_curator_(sandra_orchard)phdcareers
 
E1 life as_an_outreach_project_leader_(giulietta_spudich)
E1 life as_an_outreach_project_leader_(giulietta_spudich)E1 life as_an_outreach_project_leader_(giulietta_spudich)
E1 life as_an_outreach_project_leader_(giulietta_spudich)phdcareers
 
2 training opportunities_at_embl_(helke_hillebrand)
2 training opportunities_at_embl_(helke_hillebrand)2 training opportunities_at_embl_(helke_hillebrand)
2 training opportunities_at_embl_(helke_hillebrand)phdcareers
 
1 introduction to_the_ebi_(katrina_pavelin)
1 introduction to_the_ebi_(katrina_pavelin)1 introduction to_the_ebi_(katrina_pavelin)
1 introduction to_the_ebi_(katrina_pavelin)phdcareers
 
P4 training and_life_as_a_postdoc_(shinichi_sunagawa)
P4 training and_life_as_a_postdoc_(shinichi_sunagawa)P4 training and_life_as_a_postdoc_(shinichi_sunagawa)
P4 training and_life_as_a_postdoc_(shinichi_sunagawa)phdcareers
 

Mais de phdcareers (9)

Publishing Career Day Presentation AM
Publishing Career Day Presentation AMPublishing Career Day Presentation AM
Publishing Career Day Presentation AM
 
E3 life as a ux analyst (jenny_cham)
E3 life as a ux analyst (jenny_cham)E3 life as a ux analyst (jenny_cham)
E3 life as a ux analyst (jenny_cham)
 
P3 training and_life_as_a_postdoc_(felix_klein)
P3 training and_life_as_a_postdoc_(felix_klein)P3 training and_life_as_a_postdoc_(felix_klein)
P3 training and_life_as_a_postdoc_(felix_klein)
 
P2 training and_life_as_a_postdoc_(kota_miura)
P2 training and_life_as_a_postdoc_(kota_miura)P2 training and_life_as_a_postdoc_(kota_miura)
P2 training and_life_as_a_postdoc_(kota_miura)
 
E2 life as_a_scientific_database_curator_(sandra_orchard)
E2 life as_a_scientific_database_curator_(sandra_orchard)E2 life as_a_scientific_database_curator_(sandra_orchard)
E2 life as_a_scientific_database_curator_(sandra_orchard)
 
E1 life as_an_outreach_project_leader_(giulietta_spudich)
E1 life as_an_outreach_project_leader_(giulietta_spudich)E1 life as_an_outreach_project_leader_(giulietta_spudich)
E1 life as_an_outreach_project_leader_(giulietta_spudich)
 
2 training opportunities_at_embl_(helke_hillebrand)
2 training opportunities_at_embl_(helke_hillebrand)2 training opportunities_at_embl_(helke_hillebrand)
2 training opportunities_at_embl_(helke_hillebrand)
 
1 introduction to_the_ebi_(katrina_pavelin)
1 introduction to_the_ebi_(katrina_pavelin)1 introduction to_the_ebi_(katrina_pavelin)
1 introduction to_the_ebi_(katrina_pavelin)
 
P4 training and_life_as_a_postdoc_(shinichi_sunagawa)
P4 training and_life_as_a_postdoc_(shinichi_sunagawa)P4 training and_life_as_a_postdoc_(shinichi_sunagawa)
P4 training and_life_as_a_postdoc_(shinichi_sunagawa)
 

Último

Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
TEACHER REFLECTION FORM (NEW SET........).docx
TEACHER REFLECTION FORM (NEW SET........).docxTEACHER REFLECTION FORM (NEW SET........).docx
TEACHER REFLECTION FORM (NEW SET........).docxruthvilladarez
 
ClimART Action | eTwinning Project
ClimART Action    |    eTwinning ProjectClimART Action    |    eTwinning Project
ClimART Action | eTwinning Projectjordimapav
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfVanessa Camilleri
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 
EMBODO Lesson Plan Grade 9 Law of Sines.docx
EMBODO Lesson Plan Grade 9 Law of Sines.docxEMBODO Lesson Plan Grade 9 Law of Sines.docx
EMBODO Lesson Plan Grade 9 Law of Sines.docxElton John Embodo
 
Measures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataMeasures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataBabyAnnMotar
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
Activity 2-unit 2-update 2024. English translation
Activity 2-unit 2-update 2024. English translationActivity 2-unit 2-update 2024. English translation
Activity 2-unit 2-update 2024. English translationRosabel UA
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptxmary850239
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 

Último (20)

Paradigm shift in nursing research by RS MEHTA
Paradigm shift in nursing research by RS MEHTAParadigm shift in nursing research by RS MEHTA
Paradigm shift in nursing research by RS MEHTA
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
TEACHER REFLECTION FORM (NEW SET........).docx
TEACHER REFLECTION FORM (NEW SET........).docxTEACHER REFLECTION FORM (NEW SET........).docx
TEACHER REFLECTION FORM (NEW SET........).docx
 
ClimART Action | eTwinning Project
ClimART Action    |    eTwinning ProjectClimART Action    |    eTwinning Project
ClimART Action | eTwinning Project
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdf
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptxINCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
 
EMBODO Lesson Plan Grade 9 Law of Sines.docx
EMBODO Lesson Plan Grade 9 Law of Sines.docxEMBODO Lesson Plan Grade 9 Law of Sines.docx
EMBODO Lesson Plan Grade 9 Law of Sines.docx
 
Measures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataMeasures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped data
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
Activity 2-unit 2-update 2024. English translation
Activity 2-unit 2-update 2024. English translationActivity 2-unit 2-update 2024. English translation
Activity 2-unit 2-update 2024. English translation
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptxYOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 

Bioinformatics Career Day

  • 1. Slides http://www.slideshare.net/phdcareers/ http://prezi.com/ugn43malcumr/dkfz- careers-in-bioinformatics-day-2012/ Feedback https://www.surveymonkey.com/s/bioi nformaticscareerday
  • 2. Scientific Career Development Bioinformatics Career Day Dr. Barbara Janssens May 2012
  • 3. Bioinformatics Career Day 23-May-12 Page 2 Barbara Janssens PhD Career Service
  • 4. http://www.ebi.ac.uk/training/careerday p g y Email  careers@dkfz.de TWEET  www.twitter.com  #bxcareers Slides  http://www slideshare net/phdcareers/presentations http://www.slideshare.net/phdcareers/presentations Feedback  https://www.surveymonkey.com/s/bioinformaticscareerday Feel free to use our „internet cafe“ in the back cafe 23-May-12 Page 3 Barbara Janssens PhD Career Service
  • 5. PhD Career Development p www.dkfz.de/phd/Careers.html www dkfz de/phd/Careers html www.facebook.com/phdcareers Concept: Career as „Scientific life beyond the lab“ 23-May-12 Page 4 Barbara Janssens PhD Career Service
  • 6. Career Development p Target group 900 scientists at DKFZ (Masters, PhD, PostDocs) C Career D Development: l t  Platform, tools and information  Initiative and needs come from scientists  What to pack in your suitcase for the next step A Supervisor/Mentor Advisor B … C 23-May-12 Page 5 Barbara Janssens PhD Career Service
  • 7. My career network y Playground network Graduate school Teaching Editor 23-May-12 Page 6 Barbara Janssens PhD Career Service
  • 8. Careers Service Milestones 23-May-12 Page 7 Barbara Janssens PhD Career Service
  • 9. Heidelberg Career Calendar http://tinyurl.com/5wuerfx 23-May-12 Page 8 Barbara Janssens PhD Career Service
  • 10. Career destination Plan A vs Plan B Adapted from Gerd Altmann www.pixelio.de 23-May-12 Page 9 Barbara Janssens PhD Career Service
  • 11. DKFZ PhD students want… 23-May-12 Page 10 Barbara Janssens PhD Career Service
  • 12. „Freedom „Freedom“ in Academia Temporary contracts and grants  You have to plan funding for next year But freedom is relative 23-May-12 Page 11 Barbara Janssens PhD Career Service
  • 13. „Safety in „Safety“in Industry Permanent contracts possible (often after trainee) But also planning:  Appraisals („Mitarbeitergespräche“)  Projects  Funding  Mergers and restructuring  Moving (Asia…) g( ) Safety is relative 23-May-12 Page 12 Barbara Janssens PhD Career Service
  • 14. Non academic Non-academic jobs You can do everything! Research in Industry (big pharma/small biotech) Research/Project Management Publishing, medical writing, journalism Science communication and public relations Patents Teaching Sales and Marketing Consulting Co su g Clinical trials and applications Informatics 23-May-12 Page 13 Barbara Janssens PhD Career Service
  • 15. Bioinformatics positions Academic (publish!) System Analyst / Engineer Core facility Technical Support Training Database Designer / IT Administrator Software Applications Analyst Biostatistics -> industry P Programmer Topics Marketing g Medical/clinical research … Sequencing/high throughput screening 23-May-12 Page 14 Barbara Janssens PhD Career Service
  • 16.
  • 17. Job hunting… Richard Bolles, What Color Is Your Parachute? 23-May-12 Page 16 Barbara Janssens PhD Career Service
  • 18. Networking! Start now! Look for INFORMATION Learn to present yourself Ask people about their work/life Make info dates for 10 minutes Send a personal „thank you“ so people remember you you Work on your skills – more important to take INITIATIVE than increasing KNOWLEDGE or certificates 23-May-12 Page 17 Barbara Janssens PhD Career Service
  • 19. Life/work Planning L/W-P g It´s easier to act yourself y France: Daniel Porot into a new way of thinking,  www.porot.com than it is to think yourself  www careergames com www.careergames.com into i t a new way of acting. f ti Germany: John Webb  www.life-work-planning.de Richard Nelson Bolles  www.lwp-seminare.de US: Richard N. Bolles  www.jobhuntersbible.com DKFZ WORKSHOPS  Sat 07.07.2012 English (John Web) 23-May-12 Page 18 Barbara Janssens PhD Career Service
  • 20. LIKE this page! www.facebook.com/phdcareers 23-May-12 Page 19 Barbara Janssens PhD Career Service
  • 21. 5/23/2012 Bioinformatik HUSAR (W180) Core Facility Genomics Proteomics Bioinformatics Career Day
  • 22. Topics in Bioinformatics There are two fundamental ways of modeling a Biological system (e.g., living cell) Static Sequences – Proteins, Nucleic acids and Peptides Structures – Proteins, Nucleic acids, Ligands (including metabolites and drugs) and Peptides Interaction data among the above entities including microarray data and Networks of proteins, metabolites Dynamic Systems Biology comes under this category including reaction fluxes and variable concentrations of metabolites Multi-Agent Based modeling approaches capturing cellular events such as signaling, transcription and reaction dynamics A broad sub-category under bioinformatics is structural bioinformatics. 5/23/2012 | Page 2 Karl-Heinz Glatting Bioinformatik HUSAR
  • 23. Bioinformatics at DKFZ Structure DKFZ • Research: 70 departments and research groups in 7 research programs • Service: 6 Core Facilities My beginning 1994 – almost no bioinformatics , but statistics and IT core facility Now: Search for „Bioinformatics“ at the DKFZ home page: 2231 Results for "bioinformatics“ e.g. • Software • ... for local installation. web cellHTS is accessible at: http://web- cellhts2.dkfz.de Please cite when using web cellHTS: Pelz O, Gilsdorf M, Boutros M. (2010). web cellHTS2: a web-application for the analysis of high- throughput screening data. BMC Bioinformatics 11:185. 5/23/2012 | Page 3 Karl-Heinz Glatting Bioinformatik HUSAR
  • 24. Bioinformaticians in Research and Service at DKFZ • Research groups at DKFZ with bioinformaticians: • Theoretical Bioinformatics (IBIOS) - Prof. Dr. Roland Eils • Division of Systems Biology and Signal Transduction - Prof. Dr. Ursula Klingmüller • Signaling and Functional Genomics - Prof. Dr. Michael Boutros • Molecular Genetics - Prof. Dr. Peter Lichter • Molecular Genome Analysis - PD. Dr. Stefan Wiemann • Translational Oncology - Prof. Dr. Christof von Kalle • More coming • Core Facility Genomics & Proteomics have bioinformaticians mainly in the Sequencing group and the Bioinformatics (HUSAR) group 5/23/2012 | Page 4 Karl-Heinz Glatting Bioinformatik HUSAR
  • 25. IBIOS – Prof. Dr. Eils • iBioS - short for integrative Bioinformatics and Systems Biology - works on the development of computer-assisted methods for the analysis of complex data generated in the modern life sciences and develops mathematical models for key cellular processes, for example in the context of virus infection or cancer. Theoretical projects are carried out in close collaboration with the experimental groups focusing on cellular death pathways. • Areas of major interest include: • Modeling and simulation of cellular systems • Data mining in molecular genetics and next generation sequencing • Data management for high-throughput technologies and medical samples • Quantitative monitoring of intra-cellular processes using light-microscopy • Biomedical computer vision 5/23/2012 | Page 5 Karl-Heinz Glatting Bioinformatik HUSAR
  • 26. Other fields related to Bioinformatics at DKFZ • Division of Medical and Biological Informatics - Prof. Dr. Hans-Peter Meinzer • imaging technologies such as computer tomography, magnetic resonance tomography, and ultrasound. • Division of Biophysics of Macromolecules - Prof. Dr. Jörg Langowski • three-dimensional organization in the cell: DNA and chromatin global structure 5/23/2012 | Page 6 Karl-Heinz Glatting Bioinformatik HUSAR
  • 27. Hot Topics • Analysis Next Generation Sequencing Data • Mutation Analysis (SNPs, CNVs, …) • Data Integration • Systems Biology 5/23/2012 | Page 7 Karl-Heinz Glatting Bioinformatik HUSAR
  • 28. Academia or Service • Academic Career: In research groups it is easier to get publications, maybe problem with first author/last author publications • Service: mostly no publications, but experience in certain fields like Next Generation Sequencing, … • Important: Networks, discussion groups, … 5/23/2012 | Page 8 Karl-Heinz Glatting Bioinformatik HUSAR
  • 29. LinkedIn 5/23/2012 | Page 9 Karl-Heinz Glatting Bioinformatik HUSAR
  • 30. Bioinformatics.org 5/23/2012 | Page 10 Karl-Heinz Glatting Bioinformatik HUSAR
  • 31. Background of People working in Bioinformatics • Biologists, informatics, mathematicians, physicists, medical scientists converted to Bioinformaticians • Bioinformaticians, Biomathematicians, Computational Biologists – now that specialised studies are possible 5/23/2012 | Page 11 Karl-Heinz Glatting Bioinformatik HUSAR
  • 32. Example HUSAR Example Service Bioinformatics (HUSAR) 5/23/2012 | Page 12 Karl-Heinz Glatting Bioinformatik HUSAR
  • 33. Bioinformatics (HUSAR) Tools and Databases • HUSAR (Sequence Analysis Environment): • SRS (Sequence Retrieval System) • Mascot Server (Database searches with mass spec data or peptide sequencing data) • Pipelines (e.g. SNP analysis, protein analysis) • CNV programs (PennCNV, QuantiSNP) • NGS software 5/23/2012 | Page 13 Karl-Heinz Glatting Bioinformatik HUSAR
  • 34. Bioinformatics (HUSAR) Service includes • Bioinformatics consulting/support • Bioinformatics and NGS analysis courses • Software implementation • Tools for Microarray analysis • NGS mapping and annotation • Scripting (e.g. Genome analysis with Ensembl) • Development of bioinformatics analysis pipelines, which are complex analysis program combining different bioinformatics applications connected by rules 5/23/2012 | Page 14 Karl-Heinz Glatting Bioinformatik HUSAR
  • 35. End Thank you for your attention 5/23/2012 | Page 15 Karl-Heinz Glatting Bioinformatik HUSAR
  • 36. The European Bioinformatics Institute EMBL-EBI Katrina Pavelin Scientific Outreach Officer Services | Research | Training | Industry katrina@ebi.ac.uk
  • 37. What is EMBL-EBI? • Bioinformatics Research & Service Institute • Non-profit organisation • Part of the European Molecular Biology Laboratory EMBL-EBI
  • 38. The five branches of EMBL Heidelberg Hamburg Hinxton • Basic research in Structural biology Bioinformatics molecular biology • Administration Grenoble Monterotondo • EMBO • 1500 staff • >60 nationalities Structural biology Mouse biology EMBL-EBI
  • 39. EMBL-EBI’s Mission • To provide freely available data and bioinformatics services to all facets of the scientific community in ways that promote scientific progress • To contribute to the advancement of biology through basic investigator-driven research in bioinformatics • To provide advanced bioinformatics training to scientists at all levels, from PhD students to independent investigators • To help disseminate cutting-edge technologies to industry • To coordinate biological data provision across Europe EMBL-EBI
  • 40. What is bioinformatics? • The science of storing, retrieving and Growth of raw storage analysing large at EMBL-EBI (in terabytes) amounts of biological 12000 information 10000 8000 • An interdisciplinary Disks (TB) 6000 science, involving 4000 biologists, computer scientists and 2000 mathematicians 0 • At the heart of modern Year biology EMBL-EBI
  • 41. Services www.ebi.ac.uk/services EMBL-EBI Services | Research | Training | Industry
  • 42. Databases: molecules to systems Literature and ontologies Genomes UKPMC, CiteXplore, GO Ensembl Ensembl Genomes Protein families, EGA motifs and domains Metagenomics InterPro portal Functional genomics Macromolecular ArrayExpress Nucleotide sequence structure Expression Atlas ENA PDBe Protein activity IntAct, PRIDE Pathways Reactome Protein Sequences UniProt Chemical entities ChEBI Systems Chemogenomics BioModels ChEMBL BioSamples EMBL-EBI
  • 43. EBI’s search service Access from the EBI’s homepage Species selector allows for easy comparison Data organised according to: • gene Explore data, • expression return easily to • protein your results • structure • literature EMBL-EBI
  • 44. Research www.ebi.ac.uk/groups EMBL-EBI Services | Research | Training | Industry
  • 45. Key facts about research at EMBL-EBI • A unique environment for bioinformatics research • Nine dedicated research groups • Services teams also carry out R&D • Research and services are mutually supportive EMBL-EBI
  • 46. Training www.ebi.ac.uk/training EMBL-EBI Services | Research | Training | Industry
  • 47. Pre- and postdocs at EMBL-EBI • EMBL International PhD Programme • Postdoctoral fellowships: • EIPOD – EMBL-sponsored interdisciplinary fellowships • ESPOD – EBI–Sanger combined experimental and computational fellowships EMBL-EBI
  • 49. 1 4 EMBL-EBI
  • 50. Thank you! EMBL-EBI
  • 51. Advanced Training @ EMBL Dr. Helke Hillebrand Dean of Graduate Studies European Molecular Biology Laboratory
  • 52. Training at all Levels: EICAT @ EMBL EMBL International Center for Advanced Training EIPOD EMBL Postdoc ELLS (European EMBL International Programme Learning Lab for PhD Programme & the Life Sciences) EMBL Collaborative Training Programme EMBO EMBL Symposia EMBL Visitors' & Scholars' Programme 2 Helke Hillebrand 08/2010 EMBL Courses & Conferences
  • 53. Predocs EMBL International PhD Programme EIPP 3 Helke Hillebrand 08/2010 03/2009
  • 54. What can Predocs do at EMBL? Biology Chemistry Physics Mathematics Informatics Engineering Molecular Medicine www.embl.org/phdprogramme www.embl.org/postdocs www.embl.org.jobs 4 Helke Hillebrand 08/2010 03/2009
  • 55. Life of a Predoc at EMBL in a nutshell  Highly competitive entry for >50 students per year; recruiting globally  Expected to complete PhD studies within 3.5 – 4 years  Tailor-made mentoring – Individual thesis advisory committee (TAC) to meet with annually – Complemetary skills training curriculum for individual choices  Maintaining scientific links back home while joining EMBL – External TAC member from home university – Students ambassador programme  Training all along – Core course (1st year) – Bioinformatics course (2nd year) – Scientific lectures and seminar series – Science & Society seminars and conferences  Fostering early independence – Predoc symposium – Predoc retreat 5 Helke Hillebrand 08/2010 03/2009
  • 56. Key performance indicators of a PhD at EMBL Graduation ceremony at EMBL in December, 2008 6 Helke Hillebrand 08/2010 03/2009
  • 57. Key performance indicators of a PhD at EMBL  Application rate is at about 20:1  Predoc to supervisor ratio is on average 2:1  It takes about 3.5 – 4 years to finish a PhD  Thesis submission rate of > 95% (predoc data since 1993)  Majority of EIPP predocs obtains a doctoral degree with distinction (>75%)  Broad network of partner universities for joint degrees  Excellent publication record – 90% of predocs of a given class get (a) publication(s) from their PhD – Predocs publish on average 2 papers on their PhD thesis topic 7 Helke Hillebrand 08/2010 03/2009
  • 58. What do EIPP students do after their PhD? (Data from students who defended since 01/2004) Scientific careers outside research (13%) 18 9 Private sector Academic research (7%) research (80%) 108 8 Helke Hillebrand 08/2010
  • 59. Postdocs EMBL Interdisciplinary Postdocs EIPOD Classical Postdoctoral Stream Spanish Postdoctoral Programme 9 Helke Hillebrand 08/2010 03/2009
  • 60. The Postdoc community at EMBL  About 220 Postdocs steady state; about 25% annual turnover  Maximum duration of stay is 5 years; average duration is 4 years  Entry routes – recruiting globally: – Classical Postdoctoral Stream (intake of 25-30 p.a.) – EMBL Interdisciplinary Postdocs (EIPOD ; intake of 20 p.a.) – EBI-Sanger Postdoctoral Programme (ESPOD (intake of 2 p.a.) – Spanish Postdoctoral Programme (intake of ~2 p.a.)  Individual mentoring; 2nd mentor scheme  Offering individual career development  Postdocs account for about 30% of the EMBL alumni 10 Helke Hillebrand 08/2010 03/2009
  • 61. EMBL Interdisciplinary Postdocs (EIPOD) Features  Interdisciplinary research project  Full three years of funding  Open to all nationalities  Hosted in two different labs at the five EMBL sites  Postdocs to develop own project proposals  Marie Curie CO-FUNDing in 2009-2013 and 2012-2016  Next call opens in June 2012  www.embl.de/postdocs 11 Helke Hillebrand 08/2010
  • 62. What do Postdocs do after EMBL? (Data from 921 postdocs whose whereabouts are known) Scientific careers outside research (1%) 32 Non-scientific careers (3%) 90 Private sector research (10%) 13 786 Academic research (85%) 12 Helke Hillebrand 08/2010
  • 63. Complementary skills training How to balance between ‚too much vs. not enough‘ ? The right thing at the right time... - And what to do after PhD and Postdoc? 13 Helke Hillebrand 08/2010 03/2009
  • 64. Participating in non-scientific training activities  Language training (German, English, French)  IT courses (Microsoft Office and more)  General training and development programme – Personal skills (time management, personal effectiveness, ...) – Communication skills (presentation skills, scientific writing, ...) – Project management – Grant applications & interviewing skills – Team building & conflict management – ...  Career day – insight into alternative careers 14 Helke Hillebrand 08/2010 03/2009
  • 65. ... how to avoid the Cecilia phenotype? Complementary skills training 15 Helke Hillebrand 08/2010 03/2009
  • 67. Life as a scientific database curator Sandra Orchard EBI is an Outstation of the European Molecular Biology Laboratory.
  • 68. What is a database curator Curator – OED - a keeper of a museum or other collection - from LATIN curare – take care of 2/17
  • 69. What is a database curator The job • Creating a structure for unstructured biological data • Generating order from chaos • Combining literature and automated processes to provide biomolecules with correct sequence/structure, nomenclature, function and contextual information • Give biological context to large experimental datasets The qualification • Need an attention to detail which would annoy even the best of housemates • Passion for reading and understanding literature 3/17
  • 70. What is a database curator The Pros • Read about and gain understanding of all areas of biology The Cons • No specialisation • Persuading biologists that there are benefits to this. 4/17
  • 71. What is a database curator • The International Society for Biocuration (ISB) definition: ...integration of information relevant to biology into a database or resource that enables integration of the scientific literature...and large experimental data sets. • Goals are ...accurate and comprehensive representation... ...to facilitate access to data for scientists...as a resource for computational analysis
  • 72. What does a database curator do? Collects, annotates, and validates information (in a database). Extracts & organizes data from literature Describes data using standards, protocols and vocabularies (enabling computational queries and data exchange). Communicates with researchers to ensure the accuracy of curated information and to foster good practice in data exchange.
  • 73. What does a database curator do? Takes part in the development of shared biomedical data standards and ontologies and (ideally) enforces their use. Trains users in effectively accessing and using the data in the databases Promotes database usage through talks, conference attendance/posters, publications etc….. 7/17
  • 74. What do I do? • Curate the molecular interaction database 8/17
  • 75. What do I do? Custom curation tools designed by the curation team 9/17
  • 76. What do I do? Controlled vocabulary maintenance 10/17
  • 77. Qualifications for the job • A biology B.Sc./M.Sc./PhD + lab experience or • A bioinformatics M.Sc Plus – an enquiring mind, ability to write good English and the right attitude Training – largely database specific and will be given ‘on- the-job’ 11/17
  • 78. Qualifications for the job • Do I need to be able to do programming? • Answer – no. It is often helpful to have some database query ability but it is perfectly possible to do the job without (in most databases) 12/17
  • 79. Career Progression Within the EBI • Progress as a curator – senior curator, curation coordinator • Project management – grant coordinator, project leader Post –EBI • Curation/project leadership positions at many other institutes • Related areas – academic research, research project management, lectureships, journal publishing 13/17
  • 80. Will I still be allowed to publish? Curation The annotation of both human and mouse kinomes in UniProtKB/Swiss-Prot - (MCP) Data Standards The Minimum Information required for reporting a Molecular Interaction Experiment (MIMIx) – (NBT) Data Formats The HUPO PSI's molecular interaction format--a community standard for the representation of protein interaction data. – (NBT) 14/17
  • 81. Will I still be allowed to publish? Tool development Rintact: enabling computational analysis of molecular interaction data from the IntAct repository. (Bioinformatics) Ontologies The use of common ontologies and controlled vocabularies to enable data exchange and deposition for complex proteomic experiments (Pac Symp Biocomput) Training Submit your interaction data the IMEx way - a step by step guide to trouble-free deposition (Proteomics) 15/17
  • 82. Curation as a profession 16/17
  • 83. Curation as a profession • Biocuration conference every 12 months – 2102 in Cambridge, UK • Opportunities for further training – bioinformatic tools, programming, career development/management • Attendance at biological/computational biology conferences encouraged – the EBI often provides speakers 17/17
  • 84. Summary • Curation is not for everyone – it does require a certain mindset • Exposes you to all areas of biology (and chemistry) • Now a recognised profession and our numbers are growing • Many opportunities to be become involved in “extra- curriculum” activities – its not all reading papers 18/17
  • 85. How did I get here? My career so far... Dr. Jennifer Cham User Experience Analyst, EMBL-EBI (Cambridge, UK)
  • 86. I studied biochemistry then bioinformatics… Cranfield University Cranfield University Imperial College London •  2000-2004 •  2004-2005 •  2005-2009 •  BSc •  MSc •  Engineering Biochemistry Bioinformatics Doctorate (EngD) in •  Year in industry: •  UK university Bioinformatics Merck KGaA, near Milton Darmstadt, Keynes •  Sponsor: GSK Germany •  Project: BOKU, •  Incl. exec MBA Vienna, Austria June 14, 2012 2
  • 88. What do I do now? •  Nov 2009 joined the European Bioinformatics Institute •  ‘User experience Analyst’ role in bioinformatics 4 •  Transferrable skills from my doctorate
  • 89. MSc in Bioinformatics included: •  Computer programming (Perl, Java) •  Databases, SQL •  Tools e.g. those at the EBI website •  Statistics e.g. Matlab •  5 month project EngD in Proteomic Bioinformatics included: •  Research project! •  MBA for a year •  Bioinformatics meetings and conferences 5 •  Multiple project supervisors including in pharma industry
  • 91. MSc project in cross-species microarray bioinformatics …in Vienna
  • 92. Opportunities to make connections with other universities 14/06/2012 8
  • 93. Working with postdocs during the doctorate 9
  • 94. Teaching, writing papers & reviews 14/06/2012 10
  • 95. EBI role My current role 14/06/2012 11
  • 96. Consulting with service teams 14/06/2012 12
  • 97. User-Centered Design e.g. card sorting 14/06/2012 13
  • 98. 1-to-1 usability testing •  involves travelling •  interacting with scientists •  Draws in my science background 14/06/2012 14
  • 99. Capturing User Requirements: workshops, focus groups, user surveys 14/06/2012 15
  • 101. Bioinformatics Career Day Giulietta M. Spudich, PhD Outreach Project Leader, Ensembl
  • 102. This talk … • Background (not bioinformatics!) • Why I moved from research • My job now, and how I got there • What I like about it all 2
  • 103. Background – Graduate School • PhD from University of California, Berkeley in Molecular and Cell Biology. • Thesis: Interactions in the Folding Intermediate of E. coli RNase H: Comparisons with the Native State Ensemble • Teaching: • Introduction to Biochemistry Lab and Lecture (TA) • Snapshots of a Protein: Methods in Detecting Protein Structure • Oversaw the 7 month lab project of a Master’s Student • Teaching awards (one ‘applied’ for) Challenges: Juggling teaching and research Advisor wasn’t thrilled Payoffs: Opened the door to teaching 3
  • 104. Background- PostDoc • MRC-LMB Biochemical investigation of Myosin VI interactions with protein and lipid • Three publications (Nature Cell Biology, Journal of Cell Biology, and Annual Review in Cell and Dev. Biol.) • Teaching: • University Teaching Associate (workshops in teaching and presentation skills) • Cambridge International Exams – Wrote and marked exams and course material in Proteomics Challenges: Two jobs! Takes time … Payoffs: More teaching experience, exam writing, and increased transferable skills like giving presentations 4
  • 105. Outreach for a Genomics Resource • Mixes science and teaching into one job • Supports research • Bioinformatics resource- in an active and fascinating field • Includes many different activities. • Presentations/ teaching • Video tutorials • Helpdesk (email support) • Writing help material • Help with web design based on user feedback • Usability testing (recent) Challenges: Changed fields from protein biochemistry! Genomics and bioinformatics! Lots to learn. 5 Payoffs: Get to have one job now. Doing what I love.
  • 106. Career Growth • In Feb 2011, I applied for and moved to the Ensembl Outreach Team Leader position. • New job duties: • Manage a team of 3 people • Strategy and management meetings • Decide directions and focus of our Outreach • Train new members • Maintain teaching and support Challenges: Management is a new experience. A new challenge! (EMBL courses help!) Payoffs: Stimulating, I develop new skills, and what I do has more impact on our project. 6
  • 107. What worked for me? • Working hard • Following what I loved to do • Finding out what others do in their jobs (career paths) • Sticking with an interesting and active project/field • Recognising that scientific careers extend beyond basic research Follow your heart! What do you find fulfilling? 7
  • 108. Bioinformatics Career Day 24 May 2012 Felix Klein
  • 109. Background • physics diploma, University of Heidelberg • diploma thesis in radiation dosimetry at DKFZ • measurements at HIT 2 24.05.2012 Felix Klein
  • 110. Why bioinformatics? • interdisciplinary • programmed in R • worked on data analysis 3 24.05.2012 Felix Klein
  • 111. Progress in science is driven by technology 4 24.05.2012 Felix Klein
  • 112. Chromatin loops 5 24.05.2012 Felix Klein
  • 113. Investigation of chromatin 3D structure • role of chromatin 3D structure in gene regulation • 4C to investigate detailed interactions of cis-regulatory modules (CRMs) • global chromatin interactome using HiC 6 24.05.2012 Felix Klein
  • 114. Investigation of chromatin 3D structure 7 24.05.2012 Felix Klein
  • 115. Automated analysis of microscopy based RNAi screens Features Imaging Segmentation extraction Source image Calibrated image Segmentation mask 9.241719 g.pd g.x g.y g.s g.p g.pdm g.s g.p 194 67 [1,] 123.1391 3.288660 194 67 9.241719 [2,] 206.7460 9.442248 961 153 20.513190 [3,] 502.9589 7.616438 219 60 8.286918 [4,] 20.1919 22.358418 1568 157 22.219461 3.288660 [5,] 344.7959 45.501992 2259 233 35.158966 Summary Classification [6,] 188.2611 50.451863 2711 249 28.732680 g.y [7,] 269.7996 46.404036 2131 180 26.419631 aft apt neg [8,] 106.6127 58.364243 1348 143 21.662879 [9,] 218.5582 77.299007 1913 215 25.724580 [10,] 19.1766 81.840147 1908 209 26.303760 123.1391 [11,] 6.3558 62.017647 340 68 10.314127 g.x [12,] 58.9873 86.034128 2139 214 27.463158 [13,] 245.1087 94.387405 1048 123 18.280901 [14,] 411.2741 109.198678 2572 225 28.660816 int pos [15,] [16,] 167.8151 107.966014 1942 160 281.7084 121.609892 2871 209 24.671533 31.577270 Phenotypic profile Objects labels Object features 8
  • 116. What was important for me? • bioinformatics group with members of diverse backgrounds • PI who successfully trained bioinformaticians • well established group in bioinformatics 9 24.05.2012 Felix Klein
  • 117. What might be interesting for you • turn data into biology • interaction with people from biology groups • communication skills !!! • workload divides mainly into: • programming (50 %) • reports, meetings, email 10 24.05.2012 Felix Klein
  • 118. Acknowledgements Wolfgang Huber Simon Anders Joseph Barry Bernd Fischer Julian Gehring Aleksandra Pekowska Paul Theodor Pyl Alejandro Reyes Maria Secrier Collaborators: Michael Boutros Christian Volz Eileen Furlong Yad Ghavi Helm 11 24.05.2012 Felix Klein
  • 119. Data production rates LHC: 1.8 GB / s at peak capacity (i.e. actively conducting a primary aspect of the LHC’s four main experiments: ATLAS, ALICE, CMS, and LHCb). These experiments will take roughly a decade to complete, and each of them is expected to produce over a 1 PB per year of data. One Illumina HiSeq: up to 600 Gb/run , i.e. ~600 GB/10 days = 18 TB/year (not including derived data e.g. BAM) One Digital Embryo (2008): 3.5 TB (2048 x 2048 x 370 x 1226) EMBL-EBI: in 9/2011, data storage capacity was 14 PB
  • 120. Training and Life as a Postdoc (in case of Kota) EMBL-EBI / DKFZ Bioinformatics Career Day Kota Miura (miura@embl.de) Centre for Molecular and Cellular Imaging, EMBL Heidelberg, Germany May 24, 2012 DKFZ, Heidelberg Kota Miura (miura@embl.de)
  • 121. Overview of CMCI (2006 - ) Image Processing & Analysis… Teaching in many places: EU (EMBO courses), Germany, Japan, - Teaching Courses France, Switzerland, Austria, Italy, Finland, Sweden, Singapore, Spain - Organize seminars - Consulting & Collaborations - Developments - Research
  • 122. Consulting & Collaborations Recursive Model Project Model 1 Experiments -> Microscopy -> Image Processing -> Image Analysis Project Model 2 Microscopy Experiments Image Analysis Image Processing
  • 123. Centre for Molecular and Cellular Imaging (CMCI) @EMBL The Concept of CMCI network Facilities Research Units e.g. ALMF 1. Tree-like human resources structure in EMBL 2. Association of researchers crossing over different labs and units  “CMCI as a meta-system, network” EMBL Cell Bio. & Biophysics Dev. Bio. Genome Units Groups Kota Miura (miura@embl.de) CMCI
  • 124. Background 1989 – 1993: International Christian University (Tokyo, Undergraduate) social behavior of monkeys, macaca (field research ) cucumber stomata development (video microscopy) 1993 – 1996: Osaka University (Osaka, Master) single cell migration, physarum 8 years of graduate school!! 1996 – 2001: Zoological Institute, LMU (Munich, Ph.D.) multicellular migration, dictyostelium phototaxis 2001 – 2005: Cell Biology and Biophysics, EMBL (PosDoc, Heidelberg) phototaxis + vesicle dynamics + image analysis + simulation 2005 – : Centre for Molecular and Cellular Imaging, EMBL (Heidelberg) Image processing & Analysis, Simulations Kota Miura (miura@embl.de)
  • 125. Zoological Institute, LMU Kota Miura (miura@embl.de)
  • 126. - What attracted you to this position? - I like to analyze things. My job fits to this. Computer is a great tool for analysis. - What do you enjoy most about your job? - Satisfies curiosity in many directions. In depth discussion with people. Resulting beautiful plots. Coding is like gardening. - What skills are useful in your role? - Knowledge on biology, physiology, analytical chemistry, programming. Many more skills I need but missing still.
  • 127. Bioinformatics Career Day 2012 Shinichi Sunagawa Bork Group www.sunagawa.de EMBL Heidelberg EBI / DKFZ: Bioinformatics Career Day – 24 May 2012
  • 128. Current Role Since Jan 2012 (after 1.5 years postdoc) • Research Scientist at Bork Group: Computational Biology - Network biology - Comparative genomics - Metagenomics • Responsibilities - coordinate / manage metagenomics projects Qin et al. 2010, Nature; Arumugam et al. 2011, Nature Karsenti et al. 2011, PLoS Biology - support progress of PhD students and postdocs - own research projects EBI / DKFZ: Bioinformatics Career Day – 24 May 2012
  • 129. Background / atypical career path? Diploma - Biochemistry MSc / PhD - Aquatic Ecology / Quantitative and Systems Biology Started programming in 2006 PhD 2010 EBI / DKFZ: Bioinformatics Career Day – 24 May 2012
  • 130. Today and outlook Typical activity - using and developing programs to analyze DNA sequencing data What attracted me to this position? • exciting projects • from data generation to data analysis • diversification of skill-set • springboard to independent researcher What do I enjoy most about my job? • perspective to find out something useful Two cents for future bioinformaticians: • in many, if not most areas of biology, computers keep gaining importance EBI / DKFZ: Bioinformatics Career Day – 24 May 2012
  • 131. Yann Abraham Novartis, Basel http://prezi.com/ugn43malcumr/dkfz‐careers‐in‐bioinformatics‐day‐2012/
  • 132. Bioinformatics Career Day 24.05.2012 Dr. Matthias Scherf Genomatix Software GmbH Bayerstrasse 85a. 80335 Munich http://www.genomatix.com www.genomatix.com © 2012 Genomatix
  • 133. 2 My Background: Diploma in Informatics / theoretical Medicine (minor) (Technical University Munich) PhD (Dr. rer. nat) Helmholtz Zentrum Munich/TU Munich 2 years Postdoc Helmholtz Zentrum Munich Since 2000 Genomatix Software GmbH www.genomatix.com © 2012 Genomatix
  • 134. 3 My career-path at Genomatix Development & Pre-sales Genome wide promoter prediction Mapping algorithms (RNA to DNA) Support of sales team by scientific talks Head of Discovery (heading a group of 5 Employees) Genome annotation pipeline and comparative genomics Literature & pathway analysis microArray and NGS data analysis CTO (Managing director) www.genomatix.com © 2012 Genomatix
  • 135. 4 My responsibilities Strategic decisions In-house developments Integration of third party tools Data background Infrastructure Oversee developments Define work packages for public funded projects Suggest data analysis solutions for consulting projects Do presentations www.genomatix.com © 2012 Genomatix
  • 136. 5 Why Bioinformatics ? Interest in Medicine / Biology Understanding (disease) mechanisms at “DNA level” What I like about my job Working in an interdisciplinary environment Finding creative solutions for individual challenges Close contact to the scientific community Teaching / Consulting Ok… not everything is great Lots of administration / paper work… Only little time for programming/science left www.genomatix.com © 2012 Genomatix
  • 137. 6 Genomatix Offers NGS data analysis solutions & consulting Level 1 Level 2 Mapping, Clustering, Functional analysis Results Variant detection, Short sequence reads Annotation Value (billions) Genome annotation Gene regulation Literature & Pathway database database database Databases www.genomatix.com © 2012 Genomatix