Organization

National Institutes of Health (NIH)

Reference Code

NIH-DPCPSI-ORWH-DataScience-2026

How To Apply

Click on Apply below to start your application. An 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.

Description

This postdoctoral research opportunity offers an immersive STEM learning experience within the National Institutes of Health (NIH), Office of Research on Women's Health (ORWH). ORWH's mission focuses on advancing understanding of biological and social factors that impact women's health. For this program, 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.

What will I be doing?

The fellow will receive comprehensive training in developing common data elements, harmonizing and standardizing various research and clinical data sources, and applying data standards to improve interoperability across platforms. Through active involvement in ORWH data initiatives, including the development of and coordination of menopause-related CDEs, the fellow will gain experience working with NIH data infrastructures, governance processes, and large-scale data science efforts. This position provides opportunities to collaborate with interdisciplinary teams, develop federal partnerships, contribute to the strategic planning and evaluation of data-driven projects, and build proficiency with analytic tools and data science methodologies relevant to advancing women’s health research.

Why should I apply?

As a participant in a STEM research participation program, you will learn about different NIH support mechanisms and different collaborative research programs involving NIH, how to use various NIH databases and modalities for data analysis, how to identify metrics and key indicators needed to evaluate any program, how to compare success between different types of collaborative research programs, and how to make recommendations for future programs based on the available data, under the guidance of a mentor.

Where will I be located?

Fellows are expected to be fully engaged, either in-person, hybrid, or remote. In-person or hybrid location is Bethesda, MD.

What financial provisions will I receive?

The selected candidates will receive a monthly stipend to help offset living and other expenses during this appointment. Stipend rates are determined by NIH officials and are based on the candidate’s academic and professional background. In addition, NIH may provide a health insurance supplement to cover the monthly premium costs if you elect the ORAU/ORISE health insurance plan, as necessary.

What is the length of the appointment?

The appointment will initially be for one year and may be renewed annually up to four additional years upon recommendation of NIH and is contingent on the availability of funds.

When are selections made?

An 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.

What is the Nature of the Appointment?

This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and the National Institutes of Health (NIH). Participants do not become employees of NIH, DOE, ORISE, nor ORAU, and there are no employment-related benefits.

Qualifications

The qualified candidate must be 18 years or older at the time of application and should have received a Doctoral degree in one of the relevant fields and demonstrate an interest in women's health research. The degree must have been received within the last five years of the appointment start date. Current graduate students who are nearing degree completion may apply but must have completed their degrees by the start of the fellowship.

Citizenship Requirements: This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page for information about the valid immigration statuses that are acceptable for program participation.

A Completed Application Consists Of

• A complete Zintellect profile.
• A program specific application submitted in Zintellect.
• Transcript(s) – Submit a copy of your most recent official transcript. For this opportunity, an unofficial transcript or copy of the student academic record printed by the applicant or by academic advisors from internal institution systems may be submitted to complete the application requirement, if you do not have a copy of your official transcript at the time of application. The transcript or academic record must include the name of the academic institution, name of the student, courses completed/in progress, grades and degree expected/awarded. A copy of your official transcript and/or letter showing proof of your degree may be required prior to starting the appointment. All transcripts must be in English or include an official English translation.
• A current resume/CV, including academic history, employment history, relevant experiences, and publication list.
• One Recommendation - Applicants are required to provide contact information for at least one recommendation in order to submit the application, but up to three are encouraged. You are encouraged to request a recommendation from professionals who can speak to your abilities and potential for success, as well as your scientific capabilities and personal characteristics. Recommendation requests must be sent through the Zintellect application system. Recommenders will be asked to complete a recommendation in Zintellect. Recommendations submitted via email will not be accepted. Recommendations must be submitted before your application can be reviewed.

All documents submitted must be in English or include an official English translation. All social security numbers, student identification numbers, and/or dates of birth should be removed (blanked out or blackened out, made illegible, etc.) prior to uploading into the application system.

If you have questions, contact us at NIHprograms@orau.org. Please include the reference code NIH-DPCPSI-ORWH_DataScience-2026 for this opportunity in your email.

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Point of Contact

Daphne

Eligibility Requirements">4 )

• Degree: Doctoral Degree received within the last 60 months or currently pursuing.
• Discipline(s):
• Chemistry and Materials Sciences (
• Bio-inorganic Chemistry
• Bio-organic Chemistry
• Biophysical Chemistry
• Chemistry (General)
• Computer, Information, and Data Sciences (5 )
• Engineering (2 )
• Life Health and Medical Sciences (15 )
• Mathematics and Statistics (2 )
• Science & Engineering-related (1 )
• Age: Must be 18 years of age

Affirmation

I affirm that I have received my Doctoral degree within the last five years or am currently enrolled in a PhD program. If currently enrolled, I understand that my degree must be received before the appointment start date.