Job Summary

InnoVet Health is seeking a Senior Clinical Data Scientist to support high-priority clinical informatics, interoperability, and analytics modernization initiatives for the U.S. Department of Veterans Affairs (VA). This role supports enterprise efforts related to EHR modernization, standards-based interoperability, clinical workflow optimization, and data-driven decision-making across Agile delivery environments.

The Senior Clinical Data Scientist will serve as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives. The ideal candidate will bring experience working with VA clinical systems, healthcare interoperability standards, enterprise data platforms, and cross-functional Agile teams to deliver actionable insights that improve Veteran care, usability, and operational performance.

This is a full-time, remote position with competitive pay, comprehensive benefits, and significant growth potential. You will have the chance to make a meaningful impact while enjoying the flexibility of working from home.

If you're ready to take your career to the next level in the federal sector, we'd love to hear from you. Please send your resume and interest to hr@innovethealth.com.

Responsibilities:

• Serve as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making, operational optimization, patient safety, and data-driven improvement of Veteran care delivery.
• Design and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting.
• Support standards-based interoperability and data harmonization activities involving HL7, FHIR, SNOMED CT, LOINC, and enterprise healthcare data exchange.
• Design and maintain scalable data pipelines and analytic workflows supporting machine learning, interoperability analytics, and enterprise reporting.
• Develop interpretable and trustworthy analytics solutions that support transparency, governance, and clinical usability in healthcare environments.
• Support development of scalable and governed AI/ML workflows, including model validation, lifecycle management, reproducibility, and performance monitoring in regulated healthcare environments.
• Support PI Planning activities through backlog analytics, reporting cadence tracking, dependency visibility, and Agile delivery metrics.
• Ensure compliance with VA data governance, security, and privacy standards.

Qualifications:

• Demonstrated expertise in:
• Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics)
• Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC)
• Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch)
• Data visualization tools (e.g., Power BI, Tableau) and ETL processes;
• Integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity
• Must be U.S. citizen and eligible for VA clearance
• Master's degree in data science, Computer Science, Health Informatics, Statistics, or a related quantitative discipline
• 8+ years in data science or advanced analytics roles
• 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments

Preferred Qualifications:

• Preferred Certifications include:
• Certified Health Data Analyst (CHDA)
• CSM or SAFe Practitioner
• Healthcare Data Science or AI certifications
• Ph.D. in Data Science, Machine Learning, or Health Informatics

Job Type: Full-time

Pay: From $145,000.00 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 with government contracts. Under Order 11935, either U.S. Citizenship or valid 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.
• How many years of experience do you have working on federal contracts?
• Which clinical informatics systems do you have experience integrating?

Education:

• Bachelor's (Required)

Experience:

• Python: 5 years (Required)
• healthcare data : 3 years (Required)
• interoperability standards (HL7, FHIR): 3 years (Required)

Work Location: Remote