Data Scientist – Federal Healthcare AI Initiatives

Job Summary:

InnoVet Health, a Service-Disabled Veteran-Owned Small Business, is seeking a Data Scientist to support national AI initiatives in federal healthcare. The successful candidate will explore promising use cases, design and execute experiments, and validate models and products that improve patient care and reduce provider burden. You will work with large, privacy-protected healthcare datasets, conduct advanced analyses, and assess the trustworthiness and explainability of AI approaches, collaborating with senior stakeholders to translate findings into operational impact. This role offers remote flexibility, competitive benefits, and strong opportunities for professional growth in a mission-driven company.

Responsibilities:

• Work with VA clinical and policy stakeholders to gather and refine requirements for advanced data statistics and AI initiatives.
• Explore and assess potential AI/ML use cases, evaluating feasibility, risks, and likely impact on Veteran healthcare and provider workflows.
• Design and execute statistically sound experiments and studies, including A/B testing, quasi-experimental designs, and randomized controlled trials.
• Develop and validate predictive models using techniques such as logistic regression, generalized linear models, survival analysis, and time-to-event modeling.
• Apply Bayesian inference, causal inference, and multivariate modeling techniques to support health economics and outcomes research (HEOR).
• Conduct robust risk adjustment modeling and quality of care measurement using large-scale clinical and claims datasets.
• Lead longitudinal and population health data analysis to inform evidence-based medicine, comparative effectiveness research, and population stratification.
• Perform data wrangling, statistical analysis, and visualization using tools such as R (tidyverse, lme4, survival), Python (pandas, statsmodels, PyMC, lifelines), SAS, STATA, and SQL.
• Design and conduct experiments and evaluations to test promising AI/ML/LLM approaches, documenting results and identifying limitations.
• Conduct evaluations of emerging AI methods, including large language models (LLMs) and agentic AI approaches, assessing their potential applications, risks, and alignment with VA priorities.
• Develop clear, reproducible analyses and prepare findings, models, and code for potential transition into VA environments.
• Interpret and communicate results to both technical and non-technical audiences, highlighting implications for patient care and decision-making.
• Ensure all work aligns with principles of explainability, fairness, and privacy in healthcare AI.
• Manage relationships with VA stakeholders to ensure alignment between project activities and organizational priorities.

Qualifications:

• Master’s degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• 3–5+ years of experience in data science, healthcare analytics, or related work.
• Proficiency in data science programming languages (e.g., Python, R, SAS, SQL) for data analysis, modeling, and experimentation.
• Strong foundation in probability, inference, hypothesis testing, and applied statistics, with real-world experience conducting causal inference and Bayesian modeling.
• Experience analyzing large and complex datasets. Experience with healthcare data (EHR, population health etc.), especially VA healthcare data, is preferred but not required.
• Exposure to large language models (LLMs) and agentic AI approaches, with the ability to evaluate potential use cases and limitations.
• Ability to clearly interpret and present results to both technical and non-technical audiences.
• Green card or US citizen required
• Please NO 1099 or corp-to-corp or international outsourcing or staffing agencies
• Must be able to successfully complete a background investigation to obtain and maintain VA suitability and a federal government-issued ID badge (PIV).