Lead Data Scientist Healthcare / GenAI / LLM
We are seeking a hands-on Lead Data Scientist with deep, recent healthcare data science experience and demonstrated production-level Generative AI (GenAI) and Large Language Model (LLM) expertise.
This is a true data science and technical leadership role not a BI, data engineering, operations research, or primarily traditional analytics position.
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.
Seeking candidates who have experience with these 4 skills
- Healthcare Data Science - Advanced Data Science / Machine Learning - Production GenAI / LLMs - Technical Leadership
Required Qualifications / Education
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