Lead Data Scientist – Virtual Models
Core
Lead Data Scientist building and validating virtual pharmacology models using biological datasets to assess molecule efficacy and support screening activities.
Role type
Senior IC data scientist (biological ML)
Builds
Production-ready virtual models and data pipelines for life sciences
Domain
Life Sciences / Biostatistics / Machine Learning
Deliverable
production ML models
Required skills
PhD in data science/biostatistics/bioinformatics/ML, 8-10 years experience, complex biological datasets, data pipeline construction, data quality assessment, experimental design, scientific validation, Python/R, MLOps, Snowflake
Preferred skills
Client presentation, entrepreneurial mindset, team leadership
Technologies
Python, R, Snowflake, MLOps
Responsibilities
Assess model proposals and underlying data quality, recommend high-potential models, build data pipelines, develop and iterate ML models, define validation criteria, collaborate with lab scientists on experiments, prepare models for commercialization, document code and models
Seniority
Senior, hands-on IC with potential to lead team
