Lead Data Scientist – Healthcare​/GenAI​/LLM

Location: Houston, Texas

Posted: September 30 2026

Relocation Assistance: Available

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.

• 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.

• Candidates whose backgrounds are primarily ETL/data pipelines, data engineering, BI/reporting, supply chain, or operations research.
• Candidates focused primarily on traditional analytics without substantial advanced data science and machine learning experience.
• Traditional ML candidates without meaningful, hands‑on production GenAI/LLM experience.
• GenAI/LLM candidates without substantive healthcare data science experience.
• Candidates who have only experimented with GenAI tools or have exposure to LLMs without demonstrating production development and deployment.

The primary screening objective is to identify candidates who clearly demonstrate the intersection of all four of the following areas:

• Healthcare Data Science
• Advanced Data Science / Machine Learning
• Production GenAI / LLMs
• Technical Leadership

Candidates should clearly demonstrate all four areas on their resume. Submissions should prioritize candidates whose experience provides specific evidence of hands‑on technical work, production deployments, healthcare data experience, and Lead-level technical leadership.

Required Qualifications

• Bachelors degree or higher in Science, Engineering, Computer Science, Mathematics, Statistics, or another related STEM discipline.
• Masters degree in Data Science is preferred.

Professional Experience

• Minimum of seven (7) years of professional experience in data science.
• Experience with in a hospital environment, medical informatics, healthcare information technology, healthcare finance/revenue cycle data, or Electronic Health Record (EHR) data management is preferred.

Technical & Analytical Expertise

• Advanced statistical analysis, including regression, statistical testing, probability/distribution concepts, and appropriate application of statistical…