AI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID
Core
Developing state-of-the-art AI methods to solve key challenges in disease biology, target discovery, and translational research to empower clinical trials.
Role type
Senior IC AI Scientist (Clinical & Molecular Genomics Modeling)
Builds
Interpretable ML frameworks linking heterogeneous molecular and cellular data with clinical outcomes for drug development.
Domain
Biopharmaceuticals / Computational Biology / Genomics
Deliverable
production ML models
Required skills
Machine learning model development from scratch, handling messy heterogeneous genomics and clinical datasets, agentic coding tools, statistical data science, understanding of drug development lifecycle
Preferred skills
Expertise in modern ML research (graph/diffusion/transformer models, reinforcement learning, multimodal representation learning), 2+ years experience in target/biomarker/clinical decision modeling
Technologies
Agentic coding tools, ML frameworks for genomics and clinical data integration
Responsibilities
Develop innovative models to enhance insights from outcome data, create models linking molecular data with clinical outcomes, integrate heterogeneous data into unified modeling frameworks, identify data collection requirements for future trial designs, deploy and educate clinical stakeholders on model usage
Seniority
Senior, hands-on IC with mentorship potential
