Senior Director of Data Science South San Francisco, CA (Hybrid – 2–3 days/week) Full-Time | Base Salary: $250–275k + Bonus (Total Compensation: $315–345k)

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About the Opportunity A mission-driven technology company in the healthcare space is seeking a Senior Director of Data Science to lead a high-impact, cross-functional team. This role will be central to building and scaling advanced data science solutions that drive real-world impact in patient access, treatment effectiveness, and commercial performance. You’ll have the opportunity to own the strategic direction of data initiatives while remaining hands-on with cutting-edge machine learning work.

Why Join? Meaningful Impact: Contribute directly to solutions that improve outcomes for patients with complex conditions. Advanced Technology: Work with rare, high-fidelity healthcare datasets and deploy ML into production environments. Proven Traction: Join a revenue-generating platform used across dozens of enterprise clients and product launches. Leadership Opportunity: Lead a team of expert data scientists and engineers in a collaborative, innovation-focused environment.

Team & Scope You’ll manage a diverse team of 5 professionals, including: End-to-end Data Scientists (including one with engineering specialization) An Analytics Engineer A Data Science Analyst The team currently owns deployment pipelines and collaborates closely with product, engineering, and customer-facing functions. Over time, the focus will shift increasingly toward research, rapid prototyping, and emerging AI applications.

What You’ll Be Doing 60% | Leading the team: coaching, strategic planning, roadmap execution 20% | Technical oversight: reviewing models, guiding architecture, QA 20% | Stakeholder communication: aligning with product, commercial, and technical leaders

Examples of Ongoing & Future Projects Foundational data model expansion for large-scale analytics Predictive models for patient adherence and insurance claim outcomes Recommendation systems for treatment pathways and product optimization Embedded ML-driven product features Conversational AI (e.g., retrieval-augmented chat interfaces) Prototyping next-gen agentic AI tools Analytics consulting for external healthcare partners

Ideal Candidate Background Core Experience : 7+ years in data science or analytics (open to 5+ for standout candidates) 3+ years in commercial healthcare or biopharma analytics (or similar consulting background) Experience managing a technical team (3 or more direct reports) Deep fluency in Python (Pandas, PySpark) and SQL Applied ML experience: classification, regression, NLP, experimentation, etc.

Preferred Expertise : Experience with rare diseases, oncology, or other specialty therapies Familiarity with Snowflake, Airflow, and production data pipelines Prior roles in data-centric consulting or healthcare product teams

Personal Attributes : Intellectually curious and a fast learner Thrives in a builder environment with evolving challenges Skilled at bridging technical depth with business impact Comfortable presenting to clients and internal stakeholders

Candidates must be authorized to work in the US for consideration.

**An advert never does a role justice so if you're not sure, feel free to apply and one of our consultants will give you a call to give you a more detailed overview!**