Scientist II, Computational Biology, Pharma R&D
Core
Scientist II integrating large-scale molecular and clinical datasets to generate actionable insights for drug discovery and development using AI and biological data science.
Role type
mid-level individual contributor computational biologist (pharma R&D)
Builds
next-generation research tools and reusable code for drug discovery and clinical development
Domain
pharmaceutical R&D + computational biology + AI
Deliverable
production ML models
Required skills
R, Python, machine learning, LLM-based coding assistants, agentic frameworks, SQL, statistics, cancer biology, immunology, NGS/RNA-seq analysis
Preferred skills
generative AI configuration, real-world evidence analysis, survival analysis, causal inference, multimodal integration, peer-reviewed publication record, drug development lifecycle knowledge
Technologies
R, Python, SQL, LLMs, agentic frameworks
Responsibilities
Partner with pharmaceutical collaborators to execute computational research plans; perform robust analyses integrating genomic, transcriptomic, imaging, and clinical data; incorporate LLMs and AI tools into workflows to accelerate discovery; evaluate and implement new methods for analyzing real-world and omics datasets; collaborate with cross-functional teams to build scalable solutions; communicate complex methods and results to technical and non-technical stakeholders
Seniority
Mid-level, hands-on IC
