Data Scientist II / Senior Data Scientist, Life Sciences
Core
Build reproducible analysis patterns and bioinformatics pipelines to translate wet-lab experimental data into actionable scientific insights for life sciences programs.
Role type
Senior IC data scientist (life sciences/bioinformatics)
Builds
Bioinformatics and data-processing pipelines, reusable analysis modules, and analytical workflows integrated with centralized data lake and AI platforms.
Domain
Life sciences, bioinformatics, AI-driven scientific discovery
Deliverable
production ML models | product features
Required skills
Biological sciences background, Python (pandas, numpy, scipy), applied statistics, requirements elicitation, reproducible analysis, data processing
Preferred skills
Lab automation platforms, bioinformatics tools, workflow orchestrators (Flyte, Temporal), modern Python tools (pydantic, pyright, uv), AWS fundamentals, containerization (Docker, Kubernetes)
Technologies
Python, pandas, numpy, scipy, Flyte, Temporal, Docker, Kubernetes, AWS
Responsibilities
Own requirements discovery across lab, automation, software, and AI teams; translate experimental questions into well-scoped analyses; develop bioinformatics pipelines for raw assay outputs; build reusable analysis modules; integrate workflows with data lake and AI systems; identify gaps in LIMS and automation flows; document methods and results for technical and scientific audiences.
Seniority
Senior, hands-on IC
