Data Scientist – Federal Healthcare AI InitiativesJob 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.

QUALIFICATIONS:

• Master’s degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• 3–5+ years of experience in data science, analytics, or related work.
• Proficiency in data science programming languages (e.g., Python, R, SQL) for data analysis, modeling, and experimentation.
• Experience analyzing large and complex datasets. Experience with healthcare data, especially VA healthcare data, is preferred but not required.
• Familiarity with distributed computing platforms (e.g., Databricks, Spark) and secure government cloud environments (AWS GovCloud, Azure Government), or equivalent experience with commercial cloud systems (e.g., AWS, Azure, GCP) preferred.
• 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).
  Job Type: Full-time
  Pay: $140,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Referral program
• Vision insurance

Application Question(s):

• 
  
• This position works directly with US government contracts and under Order 11935, it requires either U.S. Citizenship or valid Green Card. Please answer 2 if you are a US citizen, 1 if you have a valid green card, 0 if neither. Please make sure to indicate which applies to you.

• Please list your LinkedIn URL below.
• How many years of experience do you have analyzing large and complex in a healthcare IT setting?

Education:

• Bachelor’s (Required)

Experience:

• Python: 3 years (Required)
• SQL: 3 years (Preferred)
• R: 3 years (Preferred)
• Databricks: 3 years (Preferred)

Work Location: Remot

• Work with VA stakeholders to gather and refine requirements for advanced analytics and AI initiatives.
• Explore and assess potential AI use cases, evaluating feasibility, risks, and likely impact on Veteran healthcare and provider workflows.
• Apply statistical and machine learning methods in SQL, Python, and R to analyze large healthcare datasets and support use case validation.
• Design and conduct experiments and evaluations to test promising AI approaches, documenting results and identifying limitations.
• Leverage distributed computing tools (e.g., Databricks) and work within secure government cloud environments (AWS GovCloud, Azure Government) to perform large-scale data analysis.
• 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.