Data Scientist (various levels)
Core
Develop methods using machine learning, NLP, and LLMs to support signal management for patient safety using global adverse event data and scientific literature.
Role type
Senior IC data scientist (pharmacovigilance & ML)
Builds
Open-source packages, documented workflows, reusable models, and product features for safety surveillance
Domain
Healthcare + Pharmacovigilance + AI/ML
Deliverable
production ML models
Required skills
Python, R, Machine Learning, Natural Language Processing, Large Language Models, Scientific Research, Peer-reviewed Publication, Data Analysis
Preferred skills
Software Engineering, Cloud Infrastructure, GenAI, Agentic Workflows, Model Deployment, User Research, Mentoring
Technologies
Python, R, LLMs, Cloud Infrastructure
Responsibilities
Develop ML/NLP methods for signal detection from case reports and literature; Design and run scientific studies; Publish research in peer-reviewed journals; Create open-source tools and reusable models; Collaborate with product teams to implement research ideas
Seniority
Senior, hands-on IC with research leadership
