Manager, Computational Biology (Early Oncology)
Core
Lead a team of computational biologists to integrate massive datasets (phenomics, transcriptomics, proteomics) for target nomination, disease biology validation, and precision oncology strategies in drug discovery.
Role type
Manager, Computational Biology (Early Oncology)
Builds
Novel oncology therapeutics and precision medicine strategies
Domain
Biotech / Pharma / Oncology / Computational Biology
Deliverable
production ML models | product features
Required skills
Team leadership and mentorship, Oncology domain expertise (cancer biology, biomarker discovery, patient stratification), Multi-omics data integration (phenomics, transcriptomics, proteomics, genomics), Python or R for high-dimensional data analysis, Data visualization, Cross-functional collaboration
Preferred skills
Experience with public oncology datasets (TCGA, CCLE, DepMap), Experimental design (CRISPR, high-throughput screens), Clinical translation (IND-enabling studies)
Technologies
Python, R, TCGA, CCLE, DepMap
Responsibilities
Lead and develop a team of data scientists and computational biologists, Drive target discovery and validation analyses, Define early patient population and biomarker strategies, Bridge gaps between team and platform/engineering to scale tools, Execute hands-on complex data integration and analysis, Collaborate cross-functionally with biologists and chemists, Present data analysis to external stakeholders
Seniority
Manager, hands-on IC with people management
