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Job ID: 172121

National Library of Medicine Associate Fellow

Date Posted Nov. 12, 2021
Title National Library of Medicine Associate Fellow
University Varies
Varies, MD, United States
Department National Institute of Health
Application Deadline Jan. 28, 2022
Position Start Date Jul. 1, 2022
  • Graduate Student
  • Computer/Information Sciences
    Sciences - General

The National Library of Medicine (NLM) Associate Fellowship Program (AFP) offers a series of workshops in library operations, research and development, intramural and extramural research, development, and lifecycle of the NLM web-based products and services, and the extensive engagement and education program. In the second half of the year, Associate Fellows choose projects based on real-world problems proposed by library divisions and collaborate with NLM staff over a six-month period. Successful projects have led to peer-review publications and to services that have become a regular part of the services and product of NLM.

What will I be doing?
As a National Library of Medicine Associate Fellow, you will:

  • Select and participate on projects ranging from operations to research and development; project opportunities are in data science, data management, open science, public access, vocabularies and ontologies, common data elements
  • Grow professionally and learn in a cohort, participating in an established set of workshops
  • Develop skills in data science, foundations for leadership
  • Receive support from experienced mentors
  • Attend professional conferences

Annual stipend of $60,129, based on full-time participation.
Health insurance supplement of $500.00 per month

Appointment Dates
This appointment is a one-year research appointment starting July 1, 2022, and ending June 28, 2023.


  • Hold United States or Canadian Citizenship
  • Be at least 18 years old by June 30, 2022
  • Have earned an American Library Association (ALA) accredited master’s degree, by June 30, 2022, or within the previous five years
    To learn more and to apply, visit:

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