Overview

The fellow will apply data science methods and frameworks to enhance the harmonization, integration, and analysis of research and clinical datasets relevant to women’s health, with the aim of identifying emerging areas for future women’s health research and contributing to an artificial intelligence (AI) platform for women’s health. A major component of this role will include contributing to and coordinating expert opinion around development of menopause-related Common Data Elements (CDEs) to support standardization and improved data quality across research studies. As needed, the fellow will conduct evaluation, reporting, and communication of scientific activities for NIH leadership and external audiences. Additional activities may be further tailored to the interests and skillset of the fellow.

Position Details

• Position: Data Science to Advance Women’s Health Research Postdoctoral Fellow
• Location: In-person or hybrid in Bethesda, MD or remote
• Stipend: $88,000.00 Yearly
• Duration: One year appointment with opportunity for renewal up to 4 years

Requirements

• Degree: Doctoral Degree received within the last 60 months or currently pursuing.
• Discipline(s):
  • Chemistry and Materials Sciences
  • Computer, Information, and Data Sciences
  • Engineering
  • Life Health and Medical Science
  • Mathematics and Statistics
  • Science & Engineering-related
• Age: Must be 18 years of age
• Citizenship: Open to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals

Application Window

Initial review of applications will occur on July 1, 2026. Thereafter, applications will be reviewed on a rolling-basis throughout the 2026 calendar year, and selections made as projects for participation become available.