Lead Data Scientist – Virtual Models
Core
Lead Data Scientist building and validating virtual pharmacology models (skin, hair, longevity, cancer, immunology) using biological datasets to support future commercialization as SaaS or lab-assay services.
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
Python, R, machine learning, biostatistics, bioinformatics, data pipeline engineering, data quality assessment, MLOps, Snowflake
Preferred skills
Cloud data platforms, presenting to external stakeholders, entrepreneurial mindset
Technologies
Snowflake, Python, R
Responsibilities
Assess and select high-potential model proposals from business units; clean, structure, and integrate complex biological datasets; develop and iterate machine learning models and proof-of-concepts; define validation criteria and collaborate with lab scientists on experiments; ensure reproducibility and documentation of code and models; prepare models for scientific validation and commercialization.
Seniority
Senior, hands-on IC with potential to lead team
