Applied Health Data Scientist with advanced analytics experience

Applied Health Data Scientist to support national AI initiatives across federal healthcare, with a focus on the Department of Veterans Affairs. Design and evaluate ML and LLM based solutions, build reproducible pipelines, assess data quality, and translate analytical findings into actionable, governance-aware insights.

Responsibilities

• Design and deploy end-to-end machine learning pipelines, covering data ingestion, preprocessing, feature engineering, model selection, training, evaluation, and production deployment, with rationale for design choices and tradeoffs.
• Perform structured evaluations of LLM and agentic AI approaches, assessing safety, hallucinations, robustness, and suitability for federal healthcare use cases.
• Apply statistical and ML methods in Python and SQL to analyze large healthcare datasets and validate use cases.
• Create reproducible analyses with version control (git) and experiment tracking (MLflow).
• Audit incoming health data sources (EHR, claims, operations) for missingness, inconsistencies, structural issues, and bias; document principled data handling decisions.
• Collaborate with data engineering and system owners to improve upstream data quality, metadata, and readiness for AI/ML workloads.
• Operate in secure government cloud environments (AWS GovCloud, Azure Government) and distributed compute platforms (Databricks, Spark).
• Contribute to federal AI governance activities, including model documentation and risk assessments, with involvement in internal reviews or oversight processes.
• Design evaluation plans to support ongoing monitoring, drift detection, and re-validation of AI systems in production.
• Ensure work aligns with explainability, fairness, privacy, and evolving federal AI policy, standards, and responsible AI guidance.
• Collaborate with VA stakeholders to gather and refine requirements for advanced analytics and AI initiatives.
• Translate modeling results into clear visualizations and narratives tailored to technical, clinical, and executive audiences.
• Embed AI solutions into existing clinical and operational workflows to minimize burden and maximize adoption.
• Manage multiple concurrent projects across VA and other federal health clients, balancing deep technical work with stakeholder engagement and deliverable timelines.
• Prepare formal federal deliverables such as technical memos, evaluation reports, model cards, data management plans, and reproducibility documentation.
• Develop clear, defensible analyses suitable for audit, external review, and transition into federal environments.

Requirements

• Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of hands-on experience in applied data science or machine learning, with a track record of delivering work in real world, production, or contract environments.
• Proficiency in Python and SQL, including comfort with T-SQL and Databricks; R is valued for candidates from research or biostatistics backgrounds.
• Experience analyzing large and complex datasets; healthcare data, especially VA healthcare data, is preferred but not required.
• Familiarity with distributed computing platforms (Databricks, Spark) and secure government cloud environments (AWS GovCloud, Azure Government), or equivalent commercial cloud experience (AWS, Azure, GCP).
• Familiarity with data science and ML lifecycle frameworks (CRISP-DM, OSEMN, TDSP) and the ability to structure work using governance checkpoints and documentation practices.
• 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.
• Eligibility to obtain VA suitability and a federal PIV badge; U.S. Citizen or Green Card holder.
• No 1099, corp-to-corp, or international outsourcing.

Technologies

• Python
• SQL, T-SQL
• Databricks, Spark
• AWS GovCloud, Azure Government, GCP
• git, MLflow
• R
• CRISP-DM, OSEMN, TDSP
• LLMs, agentic AI concepts
• CI/CD, containerization

Benefits

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

Job Type

• Full-time

Pay

From USD 140,000 per year

Application Questions

• This position involves government contracts; under Order 11935, U.S. Citizenship or permanent residency is required. Answer 2 if you are a US citizen, 1 if you have a permanent resident card.
• Please provide the link to your LinkedIn account.
• Please provide the link to your GitHub account.
• How many years of experience do you have working on federal contracts?
• How many years of experience do you have with building, evaluating, and deploying ML models in production?
• How many years of experience do you have in using and evaluating Gen AI and Agentic AI solutions?

Work Location

• Remote