[Laboratory Informatics Summit]
Not logged in
  • Log in
    Membership (38827+) Group hosting [?]
  • Wiki
  • Franklin Award
  • Sponsorships
  • Careers
    About bioinformatics
    Bioinformatics training
    Bioinformatics jobs

    All information groups
    Online databases Online analysis tools Online education tools More tools

    All software groups
    FTP repository
    SVN & CVS repositories [?]
    Mailing lists

    News & Commentary
  • Submit
  • Archives
  • Subscribe

  • Jobs Forum
    (Career Center)
  • Submit
  • Archives
  • Subscribe
  • Career Center - Message forums

    Opportunity: Oncology Bioinformatics Post Doc (#IMU50) @ AstraZeneca -- Cheshire, UK
    Submitted by Garry Beran; posted on Monday, November 11, 2013


    We have an exciting opportunity for an experienced computational biologist with a keen interest in next generation sequencing, genetics and drug discovery to join our Oncology Bioinformatics Group. The role holder will primarily support the EU Innovative Medicine Initiative (IMI) Oncotrack program, an academic and industrial partnership aiming to identify and qualify biomarkers that may be used to guide patient therapy in colorectal cancer.

    The successful applicant will be a leading member of a cross pharmaceutical-academic inter-disciplinary team focusing on translational and enabling/foundation informatics. The primary goal is to apply and develop integrative informatics solutions to analyse the transcriptional, proteomic, genetic and epigenetic regulation of colon cancer patients and their matched animal and cell models, and correlate these to pharmacological response data to identify biomarkers for validation.

    The role holder will work closely with AZ Oncology Project and Disease Teams and have the opportunity to experience first hand the multidisciplinary interactions required for successful drug discovery whilst supported by the AZ global informatics community and respected academic advisors.


    • Lead and deliver key bioinformatics activities to support:
    • * Oncotrack consortium, with critical alignment to the informatics collaborators at Max Planck and Alacris (Berlin).
    • * Cross platform integrative informatics analysis of clinical and animal model data, in particular RNA-Seq, MeDIP-Seq, Exome and WGS and protein arrays.
    • * Essential NGS capability build focused on extracting biological value and interpretation.
    • * Reactive toolkit build to enhance access to 'omic data by science teams including potential involvement in the tranSMART translational informatics platform.
    • Work collaboratively with informatics specialists to deliver scientific information platforms, processes, tools or techniques to solve scientific problems.
    • Build expertise in and develop novel statistical/ computational methods and software tools for analyzing next-generation sequencing and high-throughput functional genomic data, including RNA-seq, DNA-seq, and large volumes of data in public repositories such as TCGA/GEO/ICGC.
    • Publish in peer-reviewed journals and present at conferences/scientific meetings.


    Eduction, Qualifications, Skills & Experience:
    • PhD level in a computational biology, bioinformatics, computer science or equivalent subject
    • Expertise in the application, analysis and interpretation of sequencing data e.g. RNA-Seq, DNA-Seq, Meth-Seq, Exome sequencing
    • Familiarity with Unix/Linux operating systems
    • Highly competent in one or more of Perl, Python, Ruby, Java, C++, R programming languages
    • Excellent communication and facilitation skills including delivery of appropriate formal or informal presentations to different scientific audiences
    • Ability to work effectively within a team to achieve collaboration objectives by contributing to discussions and disseminating knowledge and information
    • Passion for application of bioinformatics to drug discovery and delivering therapies for patients.
    • Good track record of publishing scientific research
    • Interdisciplinary background in bioinformatics/computational biology and cancer genomics
    • Advanced knowledge of statistical and machine learning methods
    • Bachelors degree or MSc in a Life Science, Computer Science or equivalent experience
    • Disease area and/or domain knowledge in Biological Sciences or similar
    • Experience in "big data" analysis including integration of diverse data types such as mutation, copy number and expression


    This position is for a fixed term of 2 years with opportunity to extend to 3 years subject to satisfactory project progression.


    This role will be based in the UK with opportunities for short term placements in Max Planck/Alacris (Berlin, Germany).


    Competitive Compensation & Benefits package.


    Apply via AZ job website:[...]toral


    8th December 2013

    Expanded view | Monitor forum | Save place

    Start a new thread:
    You have to be logged in to post a reply.


    Copyright © 2017 · Scilico, LLC