ML Research Engineer, AI for Life Sciences
Core
Architect, scale, and optimize scientific codebases for Large Quantitative Models (LQMs) to accelerate drug and materials discovery.
Role type
Senior IC ML Research Engineer (Life Sciences)
Builds
Production-grade ML and physics-based models for in silico drug design
Domain
Life Sciences / Computational Chemistry / AI
Deliverable
production ML models
Required skills
PhD or research-focused MSc in CS/Physics/Chemistry, 5+ years production software development, structural biology data science, translating research papers to ML software, bridging research code to product code
Preferred skills
biopharma domain experience, affinity/structure-prediction/generative chemistry models, MLOps on cloud platforms, interdisciplinary AI-biology work
Technologies
GPU infrastructure, large-scale simulation frameworks, major cloud platforms
Responsibilities
Bring novel scientific ideas into robust code, lead ideation and execution of complex datasets and ML models, drive software through full product lifecycle from research to launch
Seniority
Senior, hands-on IC