Job ID: 89062809
Job date: 2015-11-27
End Date:
Company : AstraZeneca Country : Role : Research Scientist
Job date: 2015-11-27
End Date:
Company : AstraZeneca Country : Role : Research Scientist
Job Description:
AstraZeneca is a global, science-driven 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 bio-informatician/statistician, eager to bring biological data together in new ways, to join the group. The successful individual will focus on development and application of approaches combining multi-omic data sets (including next-generation-sequencing) with phenotypic annotation to reveal actionable insights surrounding complex biological problems. For our emerging drug portfolio, the individual will nominate new biomarkers predictive of drug activity, patient response and combination synergy. Encouragement and support will be provided to help the individual develop specialist knowledge and skill sets. Accountabilities/Responsibilities
Additional Info:
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AstraZeneca is a global, science-driven 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 bio-informatician/statistician, eager to bring biological data together in new ways, to join the group. The successful individual will focus on development and application of approaches combining multi-omic data sets (including next-generation-sequencing) with phenotypic annotation to reveal actionable insights surrounding complex biological problems. For our emerging drug portfolio, the individual will nominate new biomarkers predictive of drug activity, patient response and combination synergy. Encouragement and support will be provided to help the individual develop specialist knowledge and skill sets. Accountabilities/Responsibilities
- Work closely with bioscience and translational science teams to understand where bioinformatics approaches can best impact their scientific and technical challenges.
- Steer application of bioinformatics/genomics to benefit immuno-oncology drug projects.
- Explore non-traditional technologies (graph modeling, machine learning, Bayesian approaches etc.) to find new ways of modelling complex data that deliver innovative solutions.
- Deliver molecular data analyses linking multi-omic data sets from patients and in vitro/vivo models to propose mechanistic, biomarker and combination hypotheses for drug projects.
- Proactively engage in knowledge sharing and peer support, including training our bench science community, to build expertise in the tools critical to Oncology Bioinformatics.
- Build and steer further development of small prototype tools for bench scientists to access and visualize project data.
- Work collaboratively with IT and statistical specialists to deliver processes, tools and techniques to solve scientific problems.
- Collaborate with industry and academia, and exploit external resources, to find the most effective solutions to problems.
- Bachelors plus PhD (or equivalent graduate degree with applied experience), combining:
- Technical expertise in computer science / biostatistics / mathematical modeling.
- Knowledge of immunology, genetics/genomics or oncology.
- Expertise applying mathematical, network biology and bioinformatic methods to identify and interpret associations in diverse molecular and phenotypic data.
- Experience analyzing data from multiple 'omic platforms (sequencing, transcriptomic, proteomic etc.).
- Knowledge of large-scale machine learning techniques.
- An enthusiasm to explore non-traditional approaches to bring big data together in biologically meaningful ways, e.g. graph modeling or Bayesian approaches.
- Awareness of state-of-the art DNA sequencing and transcript-/prote-omic technologies.
- Programming in a unix and windows environment.
- R programming expertise (inc. use of Bioconductor, and Shiny).
- Experience coding in Perl and/or Python.
- A thorough understanding of the biological systems and signaling pathways involved in immunology or cancer.
- Skilled in effective communication of complex 'omic data to a non-expert.
- An excellent publication track record.
- Well networked within external bioinformatics and oncology communities.
- A thorough understanding of the contribution of bioinformatics to drug discovery.
- Experience applying graph modeling, machine learning, Bayesian analytics or other non-traditional approaches to model biological data.
- Expertise in analysis of data from multiple 'omic platforms (sequencing, transcriptomic, proteomic, epigenetic).
- Expertise in genetic (DNA sequence, NGS) data interpretation.
- Experience working with data from pre-clinical models of cancer.
- Effective contributing to collaborative projects involving cross-disciplinary and global teams.
- Python/Perl programming expertise.
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Additional Info:
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