Note: The job is a remote job and is open to candidates in USA. InnoVet Health is seeking an Applied Health Data Scientist with advanced analytics experience to support national AI initiatives across federal healthcare, particularly focusing on the Department of Veterans Affairs. The role involves designing machine learning solutions, assessing data quality, and translating findings into actionable insights to enhance Veteran care and streamline operations.
Responsibilities
- Design and implement end‑to‑end ML pipelines, including ingestion, preprocessing, feature engineering, model selection, training, evaluation, and deployment, with clear rationale for design choices and tradeoffs
- Conduct structured evaluations of LLM‑based and agentic AI approaches, including safety, hallucination, robustness, and workflow fit for federal healthcare use cases
- Apply statistical and machine learning methods in Python and SQL to analyze large healthcare datasets and support use case validation
- Develop reproducible analyses using version control (git) and experiment‑tracking tools (primarily MLflow)
- Audit and assess incoming health data (EHR, claims, operational datasets) for missingness, inconsistency, structural irregularities, and bias; document principled decisions about data handling
- Collaborate with data engineering and source system owners to improve upstream data quality, metadata, and data readiness for AI/ML workloads
- Work within secure government cloud environments (AWS GovCloud, Azure Government) and distributed compute platforms (Databricks, Spark)
- Contribute to federal AI governance activities, including model documentation, risk assessments, and participation in internal review or oversight processes
- Design evaluation plans that support continuous monitoring, drift detection, and re‑validation of AI systems in production
- Ensure all work aligns with principles of explainability, fairness, privacy, and emerging federal AI policy, standards, and responsible‑AI guidance
- Work with VA stakeholders to gather and refine requirements for advanced analytics and AI initiatives
- Translate analytical and modeling outputs into clear, accurate visualizations and narratives tailored to technical, clinical, and executive audiences
- Ensure AI solutions integrate into existing clinical and operational workflows, minimizing burden and maximizing 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 including 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
Skills
- 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 demonstrated track record of delivering work in real‑world, production, or contract environments
- Proficiency in Python (primary language for all data science work) and SQL fluency, including comfort with T‑SQL and Databricks environments; R is a valued secondary skill for candidates from research or biostatistics backgrounds
- 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
- Familiarity with established data science and ML lifecycle frameworks (e.g., CRISP‑DM OSEMN, TDSP) and the ability to structure work using industry‑standard processes, documentation practices, and governance checkpoints
- 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
- Ability to obtain and maintain VA suitability and a federal PIV badge
- U.S. Citizen or Green Card holder
- No 1099, corp‑to‑corp, or international outsourcing
- Bachelor's (Required)
- Python: 5 years (Required)
- Healthcare data : 3 years (Required)
- SQL: 3 years (Required)
- Direct experience working within the Department of Veterans Affairs on data science or adjacent projects
- Broader healthcare data science experience across EHR, claims, imaging, or clinical NLP
- Federal consulting experience and familiarity with government deliverables and FedRAMP environments
- ML engineering capabilities (model versioning, monitoring, CI/CD, containerization)
Benefits
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Paid time off
- Referral program
- Vision insurance
Company Overview