Research Investigator, Integrated Sciences and Translational Bioinformatics, Immuno-Oncology
About the Job
We are seeking a highly
motivated bioinformatician with academic and/or industry experience to join our
Integrated Science and Translational Bioinformatics Immuno-Oncology
teams. The mandate of the Integrated Science group is to integrate,
synthesize and analyze internal and external data that address defined
translational questions of fundamental importance to the field of
Immune-Oncology (IO) so to generate actionable scientific insights, hypotheses,
and recommendations for stakeholders across the enterprise. The
successful candidate will help execute this mandate through the strategic
application of cutting edge bioinformatics approaches. The candidate will
internally face and interact with scientists within Discovery, Biomarker
Science, Translational Biology, Clinical Development, Medical Affairs and
Commercial organizations and will externally face and interact with academic
investigators globally as a major scientific collaborator.
- Analysis of various –omic-scale data including RNA-Seq, Exome and Whole Genome Sequencing, single cell sequencing, and high throughput proteomics in order to nominate novel drug targets, enable patient enrichment strategies, understand mechanisms of resistance to IO therapies and prioritize combination therapies.
- Integration and mining of large scale external data sets (TCGA, 1KG, EXAC, Cosmic) to further our understanding of the relationship between tumor genetics, the tumor microenvironment, and response to therapies.
- Evaluate and analyze exploratory genomics data from clinical trials to understand drug mechanisms and patient response.
- Extract insights and generate hypotheses to be evaluated in future trials and to inform our discovery pipeline.
- Collaborate with bioinformaticians, statisticians, biologists, and clinicians to identify critical questions that can be addressed via computational approaches.
- Define and implement statistical/computational analysis plans.
Collaborative Mindset\: The ability to work across organizations
to define and solve problems that will benefit the whole. Capable of
establishing strong working relationships across the organization.
- Ph.D. in bioinformatics, engineering, statistics,
physics, molecular biology, genetics, or a similar discipline with less
than 2 years of industry experience.
- Strong background in -omic (DNA, RNA, epigenetic,
proteomic) data analysis and biological interpretation.
- Solid background
in Oncology/Immuno-Oncology biology.
- Ability to communicate effectively with biologists,
biostatisticians and computational scientists.
- Proficiency using R and Bioconductor packages, at least
one scripting language (Python, Perl), and SQL.
- Experience working with Linux high performance compute
clusters and cloud based computing platforms (Amazon EC2).
- Working knowledge of publicly available biological databases including NCBI, Ensembl, dbGAP, GEO, SRA, TCGA, etc.
- Experience working with clinical trial data is a plus.