Senior Director, Data ScienceHarnham • San Jose, CA, US
Senior Director, Data Science
Harnham • San Jose, CA, US
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job_description.job_card.job_description7+ years in data science or analytics (5+ for standout candidates) 3+ years in commercial biopharma analytics (e.g., brand performance, market access) Proven leadership of small technical teams (3+ direct reports) Deep technical fluency in Python (Pandas, PySpark) and SQL Experience with machine learning (classification, regression, NLP, experimentation) Familiarity with Snowflake , Airflow , and ML deployment practices Experience with specialty therapeutics (e.g., oncology, rare disease) is a strong plus ML models for patient adherence and claim denial prediction Propensity-based recommendation engine (launching this year) Embedded ML features in product UI Retrieval-Augmented Generation (RAG) chatbot for internal data access Agentic AI prototypes in early development External consulting engagements with biopharma brands High-impact leadership role in a mission-driven environment Clear path to drive innovation in healthcare-focused AI Autonomy to shape team culture, technical standards, and future capabilities Exposure to end-to-end product integration and client strategy
Job Description
Job Title : Senior Director, Data Science
Location : [Remote / Hybrid / City, State — customize as needed]
Level : Senior Director (open to Director-level candidates with strong qualifications)
Type : Full-time
About the Role
We’re looking for a strategic and technically hands-on Senior Director of Data Science to lead a high-performing team focused on commercial biopharma analytics and cutting-edge AI innovation. This is a unique opportunity to step into a mature function and drive the next phase of growth—shifting from production analytics to AI R&D, including Agentic AI and LLM-based applications.
You’ll lead a talented team of data scientists and analytics engineers, own the technical roadmap, and partner cross-functionally to deliver business-critical insights and intelligent product features.
What You’ll Do
- Lead and develop a team of 5 (data scientists, analytics engineer, analyst)
- Own the data science roadmap, balancing delivery with long-term innovation
- Guide the evolution of a robust analytics platform (Airflow, Snowflake, Python)
- Stay hands-on through model reviews, code oversight, and technical mentorship
- Partner closely with Product, Marketing, Customer Success, and Solutions Consulting
- Contribute to R&D efforts in areas like RAG chatbots, embedded ML, and Agentic AI
Key Qualifications
Current & Upcoming Initiatives
Why This Role?
Interested?
Apply now to help shape the future of data science in biopharma.
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