Lead Data Scientist – Healthcare​/GenAI​/LLM

Position: Lead Data Scientist – Healthcare / GenAI / LLM
Job description:

Lead Data Scientist Healthcare / GenAI / LLMWe are seeking a hands-on Lead Data Scientist with deep, recenthealthcare data science experience and demonstrated production-level

Generative AI (GenAI) and Large Language Model (LLM) expertise. This isa true data science and technical leadership rolenot a BI, data engineering, operations research, or primarily traditional analyticsposition.

Core Candidate Profile
- Strong technical foundation: A formal educational foundation in Computer Science, Data Science, Statistics, Machine Learning, or aclosely 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, andproductionization.

- Production GenAI / LLM expertise:
Recent hands-on experience developing and deploying GenAI/LLM solutions in production, such asRAG, agentic AI, NLP/LLM applications, prompt or model evaluation,or comparable enterprise AI solutions. Candidates should have builtand deployed these solutionsnot simply used or evaluated GenAItools.

- Healthcare data expertise:
Direct experience working with clinical,patient, EHR/EMR, claims, population health, or other complexhealthcare 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, influencingmodeling and technical direction, partnering with senior stakeholders, and translating complex data science work into meaningful business or clinical outcomes.

Candidates Who Do Not Meet the Requirements
- Candidates whose backgrounds are primarily ETL/data pipelines, data engineering, BI/reporting, supply chain, or operations research.

- Candidates focused primarily on traditional analytics withoutsubstantial 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.

Screening Priority The primary screening objective is to identify candidates who clearlydemonstrate 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 experienceprovides specific evidence of hands-on technical work, production deployments, healthcare data experience, and Lead-level technical leadership.

Qualifications:

Required Qualifications Education 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 methodologies.

Machine learning methodologies, including clustering, decision trees, artificial neural networks,…