Senior Data Scientist

What you'll do

• Own client relationships and the analytical lifecycle, from study planning and data onboarding to deployment and ongoing model refinement.
• Build predictive models for segmentation, propensity scoring, audience targeting, and campaign optimization; deploy and monitor them in the cloud.
• Lead client technical delivery, translate business questions into analytical work, and communicate recommendations to senior stakeholders.

What they ask for

• Commercial experience in large pharmaceutical companies, such as provider targeting, field teams, or sales support; wider biopharma data science experience is also considered.
• Track record building data and machine-learning pipelines, including ETL/ELT and predictive modeling, and taking models into production.
• Experience leading client technical delivery from scoping and solution design through implementation and post-sale integration.
• Strong Python and SQL skills, working knowledge of a major cloud provider, and confident client communication.

Nice to have

• Exposure to large language model applications or AI agents, including prompt design, guardrails, and observability.
• Early-stage or high-growth startup experience in a founding or senior technical capacity; predictive modeling for commercial pharma problems is also a bonus.

Pay

USD 220,000 to 260,000 per year (base salary)

Tools

Python, SQL, ETL/ELT

AI focus

Develop predictive models for pharmaceutical marketing and audience targeting; experience with large language model applications or AI agents is a bonus.