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.
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