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Senior Director, Data Science

Senior Director, Data Science

HarnhamSacramento, CA, US
22 days ago
Job type
  • Full-time
Job description

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

  • 7+ 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

    • Current & Upcoming Initiatives

  • 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

    • Why This Role?

  • 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

    • Interested?

    Apply now to help shape the future of data science in biopharma.

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    Director Data Science • Sacramento, CA, US

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