Principal Scientist, Translational Data Science
Core
Lead Translational Data Scientist applying computational biology and human disease data to identify, credential, and advance new oncology therapeutic opportunities from target identification through lead optimization.
Role type
Senior IC translational data scientist (oncology)
Builds
Computational strategies, biomarker hypotheses, and evidence packages supporting preclinical projects and IND-enabling activities
Domain
Biopharmaceuticals / Oncology / Computational Biology
Deliverable
production ML models | product features
Required skills
computational biology, oncology biology, target identification, mechanism of action analysis, biomarker hypothesis generation, data integration, statistical analysis, scientific leadership
Preferred skills
AI/ML application in drug discovery, single-cell/spatial data analysis, reproducible computational research practices
Technologies
Python, R, tumor genomics, transcriptomics, functional genomics, single-cell RNA-seq, bulk RNA-seq, DNA sequencing, imaging
Responsibilities
Define computational strategies for target rationale, disease context, and mechanism; integrate multimodal biological data to support project decisions; partner with experimental scientists to translate findings into testable hypotheses; establish translational and biomarker hypotheses for clinical development; lead the transition of scientific rationale and data from preclinical projects to development programs; present decision-oriented recommendations to leadership and governance; mentor colleagues on computational approaches and best practices
Seniority
Senior, hands-on IC with mentorship responsibilities
