Manager, Data Science & AI Delivery Lead, Clinical Development and Medical Affairs

What you'll do

• Define analytical questions, hypotheses, and product requirements with Clinical Development and Medical Affairs stakeholders.
• Perform hands-on data exploration, feature engineering, statistical analysis, and model prototyping using scientific datasets.
• Design and evaluate machine learning, natural language processing, and generative AI solutions for regulated contexts.
• Establish rigorous experimentation approaches including bias assessment, explainability, and human-in-the-loop reviews.
• Translate prototypes into production-ready solutions by partnering with data engineering, MLOps, and security teams.
• Own end-to-end delivery for AI products, including roadmap development, sprint execution, and release readiness.
• Develop epics and user stories that connect model performance to measurable business or scientific outcomes.
• Ensure all solutions comply with data governance, privacy, security, validation, and GxP requirements.

What we're looking for

• Bachelor’s degree in a relevant field and 6+ years of experience, or a master’s degree and 4+ years of experience.
• Hands-on experience developing statistical, machine learning, NLP, or generative AI solutions using Python and SQL.
• Experience delivering data science products from problem definition and prototyping through production deployment and monitoring.
• Working knowledge of data pipelines, cloud platforms, APIs, version control, and MLOps practices.
• Experience leading Agile delivery, including roadmap development, backlog prioritization, and sprint planning.
• Strong stakeholder management and communication skills across clinical, medical, scientific, and technical audiences.
• Experience applying data science or AI in Clinical Development, Medical Affairs, or a GxP-regulated environment (preferred).
• Experience with Databricks, AWS, MLflow, or large language model evaluation (preferred).