Senior Scientist, Computational Biology, Life Science Strategy
Core
Senior scientist leading computational biology and AI initiatives to integrate large-scale molecular and clinical datasets for drug discovery, clinical trial design, and real-world evidence analysis.
Role type
Senior Scientist, Computational Biology & Life Science Strategy
Builds
Actionable insights for drug discovery, clinical trial design, and next-generation research tools
Domain
Life Sciences / Precision Medicine / Oncology / Immunology
Deliverable
production ML models
Required skills
Computational biology, Machine learning, LLMs and agentic frameworks, R and Python, SQL, Statistics and study design, Cancer biology and immunology, Large-scale biological data analysis (NGS, RNA-seq)
Preferred skills
Generative AI configuration, Real-world evidence (RWE), Survival analysis, Causal inference, Drug development lifecycle knowledge
Technologies
R, Python, SQL, LLMs, Copilot, Cursor
Responsibilities
Partner with stakeholders to deliver data insights on biomarkers and clinical development; Execute reproducible analyses integrating genomic, transcriptomic, and clinical data; Incorporate LLMs and AI tools to automate workflows and prototype agentic systems; Evaluate and implement new methods for multi-modal dataset analysis; Collaborate with Research, Clinical, and Engineering teams to build scalable solutions; Communicate complex methods and results to technical and non-technical audiences; Lead projects and mentor junior scientists
Seniority
Senior, hands-on IC with leadership
