innoVet Health (SDVOSB) · 2 days ago
Senior AI/ML Data Scientist with advanced analytics experience
InnoVet Health is a small and growing business that provides health IT professional services to the Department of Veterans Affairs (VA). They are seeking a Senior Health Data Scientist to lead AI/ML initiatives, ensuring technical quality across projects and serving as a primary technical point of contact with VA stakeholders.
Health CareHospital
Responsibilities
Serve as technical lead for a team of data scientists, providing code review, methodology guidance, and mentorship
Collaborate with government data scientists and platform teams on technical architecture decisions for AI/ML projects, balancing rigor with practical constraints
Establish and maintain standards for model development, validation, and documentation
Design and build analytics solutions across a range of health data science applications, which may include clinical NLP (entity recognition, text classification, information extraction), predictive modeling, and analysis of structured healthcare data (EHR, claims, administrative records)
Apply appropriate statistical methods and validation approaches for healthcare contexts, with attention to bias, fairness, and clinical utility
Lead projects from requirements gathering through deployment and iteration, not just model building in isolation
Operationalize models in Databricks on AWS and Azure ML, with flexibility to work across a multi-cloud environment. Ensure solutions are scalable, maintainable, and compliant with healthcare and federal standards
Collaborate with data engineers and IT teams on data pipelines, infrastructure, and integration
Partner with VA stakeholders to understand clinical and operational problems, scope projects, and prioritize work
Communicate findings, methodology, and recommendations clearly to both technical and non-technical audiences
Contribute to proposals, presentations, and documentation for federal clients
Qualification
Required
MS or PhD in data science, biomedical informatics, statistics, computer science, or a related quantitative field
Minimum of 7 years of hands-on data science experience
Proven track record of end-to-end project delivery: taking models from problem definition through production deployment, not just prototyping
Production ML experience on cloud platforms (Databricks, Azure ML, or equivalent). Comfort working in a multi-cloud environment
Strong programming proficiency in Python, with working knowledge of SQL and Spark
Ability to review others' code and methodology, provide constructive feedback, and elevate team quality
Exceptional written and verbal communication skills. Experience presenting to senior stakeholders or federal clients
Must possess a valid Green Card or be a U.S. citizen
Healthcare IT: 5 years (Required)
Azure and/or AWS: 7 years (Required)
Preferred
Experience working with healthcare data (clinical, claims, EHR, or similar)
Experience with VA data systems (CDW, VistA, VINCI) or other large-scale federal health data
Strong background in clinical NLP, medical imaging analysis, or other specialized health data science domains
Prior experience in federal contracting or healthcare consulting
Experience with LLMs and generative AI in healthcare applications
Familiarity with healthcare interoperability standards (HL7, FHIR) or clinical terminologies (ICD, SNOMED, RxNorm)
Benefits
401(k)
401(k) matching
Dental insurance
Health insurance
Paid time off
Referral program
Vision insurance