Manager, Data Science
Core
Lead a data science team to design and implement data solutions, ML/AI models, and operational processes to accelerate R&D in cell-free DNA testing and diagnostics.
Role type
Manager, Data Science (R&D Operations)
Builds
Scalable data workflows, ML/AI solutions for demand forecasting and resource optimization, data products for self-service decision-making
Domain
Biotechnology / Life Sciences / Operations Research
Deliverable
production ML models
Required skills
People management (hiring, mentoring), Data science roadmap ownership, Machine learning and AI (predictive modeling, optimization), Python (pandas, scikit-learn, TensorFlow/PyTorch), SQL, Cloud data warehousing (Snowflake, dbt), Process improvement and SOP development, Data governance and integrity
Preferred skills
Domain expertise in biology, molecular biology, biochemistry, or operations research, Experience with laboratory informatics (LIMS) and sample management, Familiarity with GxP/GCLP regulated environments
Technologies
Python, pandas, scikit-learn, TensorFlow, PyTorch, SQL, Snowflake, dbt, LIMS
Responsibilities
Direct and mentor a team of data scientists; Set technical direction for ML/AI capabilities; Own the data science roadmap and report to executives; Translate business pain points into algorithmic or process solutions; Manage sample governance processes; Develop and oversee ML models for forecasting and automation; Lead development of new data products; Design data governance and reproducibility frameworks; Partner with Data Engineering and Analytics teams
Seniority
Manager, hands-on IC with team leadership
