Lead Data Scientist

Leidos

Base: $154,050.00 - $278,475.00; bonus/equity: not...
Not specified
Machine learning and predictive modeling
Clinical informatics system integration
Hl7 fhir interoperability standards
Leidos is seeking a Lead Data Scientist to support the transformation of healthcare data management for Veterans, focusing on advanced analytics, machine learning, and predictive modeling. The role requires extensive experience in healthcare data science, particularly within federal health IT environments, and emphasizes compliance with strict data governance standards

Job Summary

  • Leidos is supporting the transformation of VA healthcare by improving how health data is collected, managed, analyzed, and utilized to enhance care for Veterans.
  • The Lead Data Scientist serves as the technical lead for AI/ML initiatives, designing and validating algorithms that improve clinical decision support and interoperability workflows.
  • All AI/ML activities must comply with VA data governance, security, and privacy standards, ensuring responsible handling of sensitive Veteran health data.

Matching Summary

Match Score: 85

Leidos is seeking a Lead Data Scientist to support the transformation of healthcare data management for Veterans, focusing on advanced analytics, machine learning, and predictive modeling. The role requires extensive experience in healthcare data science, particularly within federal health IT environments, and emphasizes compliance with strict data governance standards.

Salary

Base: $154,050.00 - $278,475.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • machine learning and predictive modeling
  • clinical informatics system integration
  • HL7 FHIR interoperability standards
  • Python and/or R programming
  • data visualization with Power BI or Tableau
  • NLP techniques for clinical text
  • Agile environment experience

Nice-to-have

  • experience with VA health data environments
  • knowledge of responsible AI governance
  • experience with healthcare data science certifications
  • experience with SAFe PI Planning
  • experience developing NLP annotation pipelines
  • publication in clinical informatics research

Key Requirements

  • Master's degree in quantitative discipline
  • Minimum 15 years data science experience
  • Minimum 5 years healthcare ML experience
  • U.S. citizenship and VA suitability eligibility
  • Expertise in TensorFlow, PyTorch, or scikit-learn
  • Experience with VA VistA/CPRS and Oracle Health Cerner

Work Rights

Must have US citizenship and be eligible for VA Suitability determination and PIV credentialing

Tailored Resume

Cover Letter