The Oncology Research Therapeutic Area seeks an experienced computational biologist / data scientist to join us in the fight to stop cancer.
In this exciting role the Data Scientist is an integrated part of Discovery teams and will design experiments, manage data, and use advanced statistical, machine learning, as well as computational techniques to discover new targets either to stop the growth of cancer or re-awaken the immune system to eradicate the cancer. Furthermore, the Data Scientist will collaborate with Early Development teams to guide the development of molecules against those targets with data-driven biomarker plans.
Summary of Key Responsibilities:
- Proactively engage with project teams to define crisp scientific questions that can be addressed with an appropriately powered experimental designs
- Supply any computational, statistical, machine learning or modeling capability needed to synthesize from this design actionable recommendations relative to the team’s question
- In collaboration with project teams propose analysis strategies for target discovery, using methods based for instance on differential expression, co-regulation, correlated amplification, recurrent alterations, etc.; in so doing, also help devise statistical metrics for deciding significance, and ranking schemes for integrating data from many sources
- Identify targets and biological contexts (e.g., T or B-cell repertoire, immune phenotypes, copy number, mutational, or expression signatures) in which therapies are likely to be beneficial by mining immune, genetic, genomic or screening data
- Identify from patient and model system databases the epidemiology of these biological contexts and targets
- Develop biomarker plans (e.g., selection, PD, efficacy) in collaboration with project teams
- Manage and develop group of one or more associates and/ or contractors