Lead Data Scientist

Core Candidate Profile
- Strong technical foundation: A formal educational foundation in
Computer Science, Data Science, Statistics, Machine Learning, or a
closely related quantitative discipline.
- Healthcare data science experience: Recent, substantive experience
applying data science and machine learning within healthcare.
- Advanced ML ownership: Demonstrated end-to-end ownership of
sophisticated machine learning solutions, including model
development, validation, deployment, monitoring, and
productionization.
- Production GenAI / LLM expertise: Recent hands-on experience
developing and deploying GenAI/LLM solutions in production, such as
RAG, agentic AI, NLP/LLM applications, prompt or model evaluation,
or comparable enterprise AI solutions. Candidates should have built
and deployed these solutions—not simply used or evaluated GenAI
tools.

- Healthcare data expertise: Direct experience working with clinical,
patient, EHR/EMR, claims, population health, or other complex
healthcare datasets, with an understanding of the challenges
associated with applying AI/ML in a regulated healthcare
environment.
- Technical leadership: Demonstrated Lead-level technical leadership
through mentoring or guiding other data scientists, influencing
modeling and technical direction, partnering with senior
stakeholders, and translating complex data science work into
meaningful business or clinical outcomes.