Sr. Director of Data Science Biopharma Industry San Francisco - Hybrid $250,000 - $275,000 Base Salary + Bonus The Company: Our client is a digital health company transforming how biopharma navigates the patient journey for specialty therapies. Their proprietary platform unifies commercial, clinical, and channel data to deliver real-world insights that accelerate access, improve adherence, and drive better outcomes.

Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.

The Role Lead a growing team of data scientists and analytics engineers in developing AI-driven solutions for pharmaceutical and biotech clients. This player-coach role combines hands-on technical work with strategic leadership, collaborating across product development and client services teams.

Key Responsibilities Lead and mentor a high-performing data science and analytics engineering team Own AI & analytics strategy across the company's technology platform and service offerings Develop data science solutions for pharmaceutical and biotech clients Integrate predictive analytics capabilities into product features Ensure scalable data pipelines and architecture for diverse biopharma datasets Present complex analyses as actionable insights to technical and business stakeholders

What We're Looking For 3+ years leading data science/analytics teams 7+ years with large-scale commercial biopharma datasets required Strong ML expertise (regression, NLP, time series, classification) and statistical analysis Proficiency in Python, SQL, Snowflake, and Snowpark Experience with data modeling, ETL design, and orchestration frameworks Agile development experience (Scrum, Kanban) Advanced degree (MS/PhD) in Data Science, Computer Science, Engineering, or related field AWS cloud experience preferred Data privacy/compliance experience (HIPAA, GDPR, SOC) Agentic/autonomous AI systems experience is a plus