Data Scientist - Life Sciences AI / ML
Core
Client-facing Data Scientist applying ML, statistical modeling, and optimization to solve real-world problems in life sciences, pharma, and biotech.
Role type
Senior IC Data Scientist (Life Sciences AI/ML)
Builds
Production ML models, optimization solutions, and data analysis deliverables for pharma/biotech clients.
Domain
Life Sciences, Pharma, Biotech, Regulated Manufacturing
Deliverable
production ML models | product features | dashboards & analysis | client delivery
Required skills
Machine learning (supervised/unsupervised), statistical modeling, optimization (constrained/combinatorial), Python, data engineering, cloud platforms (AWS), relational databases (PostgreSQL), GenAI integration
Preferred skills
Bayesian experimental design, anomaly detection, process monitoring, bioinformatics pipelines, LLM-based workflows
Technologies
Python, Jupyter, Pandas, scikit-learn, Git, Docker, AWS, PostgreSQL
Responsibilities
Design and tune ML models for anomaly detection and process optimization; apply statistical techniques for feature engineering and uncertainty quantification; implement real-time monitoring and alerting systems; communicate complex analytical findings to technical and non-technical stakeholders; collaborate with data engineers and scientists across the project lifecycle.
Seniority
Senior, hands-on IC
