SENIOR DIRECTOR OF DATA SCIENCE
Hybrid: 2-3 days onsite, San Francisco
$240,000-280,000 Plus Bonus
About the Company:
This venture-backed digital health company is transforming how the biopharmaceutical industry navigates the patient journey for complex specialty therapies. Through a proprietary platform and deep domain expertise, the company unifies commercial, clinical, and channel data to deliver real-world insights that accelerate access, improve adherence, and drive better outcomes.
By unlocking clarity in the specialty drug ecosystem, the company is making a measurable difference in patient care and setting new standards in real-world evidence and healthcare analytics.
About the Role:
The Senior Director of Data Science will lead a growing team of data scientists and analytics engineers in developing and delivering high-impact AI solutions. This is a true player-coach position: ideal for someone who's ready to both roll up their sleeves and shape strategic direction.
You'll collaborate closely with Product, Customer Experience, and Solution Consulting teams to embed data science into core offerings and client engagements, helping leading biopharma companies make smarter, faster decisions.
Key Responsibilities
- Team Leadership: Mentor and lead a high-performing data science and analytics engineering team.
- AI & Analytics Strategy: Own the roadmap for machine learning and advanced analytics across the company's SaaS platform and service offerings.
- Client-Facing Delivery: Guide the creation of impactful data science solutions for top biotech and pharma clients.
- Product Innovation: Work with Product Development to integrate predictive and prescriptive analytics into platform features.
- Technical Oversight: Ensure scalable, efficient data pipelines and architecture to support advanced use cases across diverse biopharma datasets.
- Clear Communication: Present complex analyses as clear, actionable insights to technical and non-technical audiences.
- Operational Excellence: Maintain code quality, compliance, and performance in a secure, multi-tenant cloud environment.
- Continuous Innovation: Stay on the leading edge of AI, regulatory frameworks, and technology to drive ongoing platform evolution.
What You'll Need to Succeed
Minimum Requirements
- 3+ years leading data science or analytics teams.
- 7+ years working with large-scale biopharma datasets, especially Commercial or Market Access data.
- Expertise in machine learning (e.g., regression, NLP, time series, classification) and statistical analysis.
- Strong programming skills in Python and SQL; experience with Snowflake and Snowpark.
- Solid understanding of data modeling, ETL design, and orchestration frameworks.
- Experience working in Agile environments (Scrum, Kanban).
- Excellent communication and stakeholder management skills.
- Advanced degree (MS or PhD) in Data Science, Computer Science, Engineering, or a related quantitative field.
Preferred Qualifications
- Experience in AWS cloud environments.
- Familiarity with specialty pharmacy workflows or reimbursement operations.
- Knowledge of data privacy and compliance (HIPAA, GDPR, SOC, HITRUST).
- Experience building agentic or autonomous AI systems.
Why Consider This Role
- Mission-Driven Work: Use data science to improve patient access, adherence, and outcomes.
- High Visibility: Work directly with executive leadership and top-tier biopharma clients.
- Career Growth: Shape the future of data science at a fast-scaling health tech company.
- Collaborative Environment: Join a passionate, inclusive team of healthcare and technology innovators.
- Strong Compensation: Competitive salary, performance bonuses, equity opportunities, and full benefits.
If you're ready to lead transformative AI efforts in healthcare, this is your opportunity to make a difference at scale.