Job ID: 637793
Job date: 2018-02-26
End Date:
Company : AstraZeneca Country : Role : Research Scientist
Job date: 2018-02-26
End Date:
Company : AstraZeneca Country : Role : Research Scientist
Job Description:
Excitingly, we are significantly expanding the size of the group and so there exists an opportunity for a talented and motivated bioinformatician, eager to bring biological data together in new ways, to join the group. As part of drug project teams, the post holder will focus on development and applic ation of approaches combining multi-omic data sets (including next-generation-sequencing) with phenotypic annotation to reveal actionable insights surrounding complex biological problems. Encouragement and support will be provided to help the individual develop specialist knowledge and skill sets. Accountabilities / Responsibilities:
Additional Info:
Location: Cambridge, UK Salary: Competitive Application date: close off date is Friday 30th March 2018 AstraZeneca is a global, science-driven biopharmaceutical company. We are d edicated 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 work with our oncology drug project teams throughout the discovery pipeline, from new target discovery to early clinical trials. The global group align activities to AstraZeneca Oncology's three areas of focus: immuno-oncology, DNA damage response, and tumour drivers & resistance. Please apply with an updated CV and covering letter detailing your suitability for the position. AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.[Click Here to Access the Original Job Post]
Excitingly, we are significantly expanding the size of the group and so there exists an opportunity for a talented and motivated bioinformatician, eager to bring biological data together in new ways, to join the group. As part of drug project teams, the post holder will focus on development and applic ation of approaches combining multi-omic data sets (including next-generation-sequencing) with phenotypic annotation to reveal actionable insights surrounding complex biological problems. Encouragement and support will be provided to help the individual develop specialist knowledge and skill sets. Accountabilities / Responsibilities:
- Work as part of a drug project's bioscience and translational science teams to understand where bioinformatic approaches can best impact their scientific and technical challenges.
- Steer application of bioinformatics/genomics to benefit DNA damage repair and tumour resistance drug projects.
- Design and apply innovative computational/statistical algorithms and visualizations to:
- Generate actionable biological insig ht from genomic data.
- Discover and develop new molecular target, mechanism and biomarker hypotheses.
- Link multi-omic data sets from patients and in vitro/vivo models.
- Integrate and interpret proprietary and public data spanning multiple platforms.
- Find new ways of interpreting, modelling or finding meaningful patterns in complex data.
- 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.
- Collaborate with industry and academia, and exploit external resources, to find the most effective solutions to probl ems.
Minimum requirements
Education:- Relevant PhD (or equivalent graduate degree plus experience), plus post-doctoral or applied experience, combining:
- a deep understanding of the genetics/genomics of human disease
- technical expertise in either bioinformatics, computational biology, mathematical modeling or data science
- An enthusiasm to explore non-traditional approaches to bring big data together in biologically meaningful ways.
- Understanding of the biological systems and signaling involved in human disease.
- Knowledge of the DNA damage response.
- Programming in a Unix environment.
- R programming expertise (inc. use of Bioconductor and Shiny).
- Skilled in effective communication of complex data to a non-expert.
- Expertise in genetic (DNA sequence, NGS) data interpretation.
- Experience balancing knowledge-led with statistical approaches to identify meaningful associations in underpowered biological data.
- Valuable contributions to scientific projects recognized through peer reviewed publication
- A thorough understanding of the contribution of bioinformatics to drug discovery.
- Deep understanding of the molecular drivers of cancer.
- Proficiency analyzin g and interpreting data from multiple 'omic platforms (NGS sequencing, transcriptomic, proteomic etc.).
- Experience analysing and interpreting genome wide CRISPR screens.
- Experience of working with pharmacogenomics data to identify biomarkers of drug response.
- Knowledge of network biology approaches and regulator inference.
- Python/Perl programming expertise.
- SQL/Database management expertise.
- Expertise applying mathematical or machine learning approaches to identify and interpret associations in diverse molecular and phenotypic data.
- An excellent publication track record.
- Well networked within external bioinformatics and oncology communities.
- Effective contributing to collaborative projects involving cross-disciplinary and global teams.
Requeriments :
Skills :
- Bioinformatics
- Biology
- Computational Biology
- DNA sequencing
- Genetics
- genomic
- Lunix/Unix
- Machine Learning
- Mathematics
- Modeling
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
- SQL
- Transcriptomics
Areas :
Additional Info:
Location: Cambridge, UK Salary: Competitive Application date: close off date is Friday 30th March 2018 AstraZeneca is a global, science-driven biopharmaceutical company. We are d edicated 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 work with our oncology drug project teams throughout the discovery pipeline, from new target discovery to early clinical trials. The global group align activities to AstraZeneca Oncology's three areas of focus: immuno-oncology, DNA damage response, and tumour drivers & resistance. Please apply with an updated CV and covering letter detailing your suitability for the position. AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.[Click Here to Access the Original Job Post]