Lead Data Scientist (Healthcare)

A fast-growing, innovation-driven insurtech is seeking a Lead Data Scientist to join its elite analytics team.

This is a rare opportunity to shape the future of AI-driven decision support tools used by top-tier insurers and health tech firms.

Why This Role?

• Join a collaborative, entrepreneurial team backed by a globally respected consultancy.
• Work on cutting-edge problems in healthcare data science, including GenAI, NLP, and predictive modeling.
• Be the first external Lead Data Scientist hire
• Enjoy a culture that values balance, transparency, and continuous learning.

What You'll Do:

• Design and deploy advanced ML and GenAI models to interpret structured and unstructured clinical data.
• Collaborate cross-functionally with product, engineering, and IT teams to bring new solutions to market.
• Lead model development from scratch, including validation, documentation, and delivery.
• Mentor peers and contribute to a culture of technical excellence and innovation.

What You Bring:

• 5-15 years of experience in data science, ideally in healthcare/insurance
• Strong Python skills and experience with tools like R, SQL, AWS, or Databricks.
• Proven ability to build and deploy models using techniques like regression, gradient boosting, clustering, etc.
• Experience with GenAI, LLMs, or NLP - especially in a healthcare context (EHR, claims, etc.).
• Excellent communication skills and a customer-centric mindset.

Bonus Points For:

• PhD or MS in a technical field (CS, Stats, Math, etc.).
• Experience in HIPAA/PHI-compliant environments.
• Exposure to product management or product ownership.

Location

• Remote-friendly within the U.S.