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.
FAQs
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