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    Opportunity: Senior Bioinformatics Scientist, Oncology @ AstraZeneca -- Cambridge, UK
    Submitted by Garry Beran; posted on Monday, February 10, 2014


    AstraZeneca is a global, innovation-driven, integrated biopharmaceutical company. We are dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions that enrich the lives of patients. The vision of AstraZeneca Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives.

    The Oncology Bioinformatics Team supports oncology drug projects throughout the discovery pipeline, from new target discovery to early clinical trials. The global group, currently 10 full time positions plus 3 post-doctoral roles, balance activities between three areas of focus: targets and disease; drug projects; and biomarker translation.

    There is an exciting opportunity for a talented and motivated bioinformatics scientist to join the group. Initially, the successful individual will focus on analysis of public and proprietary `omic data sets to characterize the molecular landscape of tumours and tumour models. The individual will nominate new target opportunities, and aid positioning of the early portfolio in disease. Encouragement and support will be provided to help the individual develop specialist knowledge and skill sets.


    • Work closely with new target and disease/model expert teams across AZ Oncology UK/US.
      • Understand scientific goals, and identify / suggest informatics solutions.
      • Deliver impactful Bioinformatics support.
    • Conceptualise and support innovative information solutions to enable drug discovery projects to optimally utilise relevant data and support business decisions.
    • Work with cross-disciplinary groups to translate new hypotheses into clinic application.
    • Work with the bioinformatics group leadership to understand and agree project priorities.
    • Proactively engage in knowledge sharing and peer support to build expertise in the tools and techniques critical to Oncology Bioinformatics.
    • Work collaboratively with IS specialists to deliver scientific information platforms, database systems, processes, tools and techniques to solve scientific problems.
    • Build expertise in and support one or more of the following growth areas within the group:
      • Profiling of 'omic (including NGS) data from public and proprietary patient and tumour model samples..
      • Integrative statistical analysis and interpretation of multi-omic data sets in vitro/vivo.
      • Application of network biology techniques to extract biological knowledge from pan-omic molecular data.
      • Reactive toolkit build to enhance access to 'omic data by our bench scientists.
    • Act in accordance with all AstraZeneca policies.


    Bachelors in computer science / bioinformatics / biostatistics related discipline
    • Plus at least 5 years experience in biomedical/life science, genetics/genomics, oncology or drug discovery related discipline.
    Bachelors in biomedical/life science, genetics/genomics, oncology or drug discovery related discipline
    • Plus at least a total of 6 years graduate/post-graduate (PhD preferred) training and applied experience in a relevant bioinformatics / genomic data analysis discipline.


    • Expertise in DNA sequence analysis and interpretation.
    • Awareness of NGS technologies, and experience of NGS data interpretation.
    • Expertise in statistical analysis of molecular data.
    • Experience applying bioinformatics and statistical approaches to integrate multiple molecular data types, and identify associations to a phenotypic class.
    • R programming expertise (inc. use of Bioconductor).
    • A thorough understanding of the role of signaling pathways and molecular targets in human disease.
    • Skilled in effective communication of complex genomic data to a non-expert.
    • An excellent publication track record.
    • Well networked within external bioinformatics and oncology communities.
    • Expertise processing and interpreting next generation sequencing data.
    • Expertise in analysis of data from other `omic platforms (gene expression, proteomics etc.).
    • Experience of statistical modeling approaches for molecular data analysis and simulation.
    • Experience interpreting multi-omic data at the network level to understand interactions and context specificity influencing phenotypic class.
    • Experience working in a drug discovery, oncology and/or genomics related environment.
    • A thorough understanding of the contribution of bioinformatics to drug discovery.
    • Knowledge of signaling pathways in Oncology.
    • Experience contributing to projects involving cross-disciplinary and global teams.
    • Python/Perl programming expertise.


    This position is for a full term employee.


    Cambridge, United Kingdom


    Competitive Salary & Benefits


    Apply via AZ jobs:[...]ology


    Applications closing date: 3rd March 2014

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