As an NLM (National Library of Medicine) Associate Fellow, you will:
- Select and work on projects ranging from operations to research and development; project opportunities are in data science, data management, open science, public access, vocabularies and ontologies, consumer health, common data elements, genetics, natural language processing, imaging, digital humanities, software preservation, exhibits, policy, and digital communication
- Grow professionally and learn in a cohort, participating in an established curriculum, as well as through informal facilitated learning workshops, and informational interviews
- Rotate to the NIH Library (by arrangement); Clinical Informationist experience at Walter Reed National Military Medical Center
- Meet NLM Leadership
- Develop leadership skills through a leadership curriculum, behavioral assessments, and regular self-development activities
- Receive support from experienced mentors
- Attend national professional conferences, including the Medical Library Association’s annual meeting, the American Medical Informatics Association annual meeting, and the Mid-Atlantic Chapter of MLA annual meeting
- Potentially complete a second-year fellowship at a health sciences library in the United States (based on funding)
The NLM Associate Fellowship Program offers a formal curriculum with exposure to library operations, research and development, intramural and extramural research, development and lifecycle of the NLM web-based products and services and the extensive outreach and education program reaching consumers, special populations, health professionals and librarians. In the second half of the year, Associate Fellows have the opportunity to choose projects based on real-world problems proposed by library divisions and work with librarians and library staff over a six-seven 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 the National Library of Medicine. Watch a video about the program or listen to a webinar.
How many: between 3 and 6 Associate Fellows selected each year
Fellowship: one-year to learn about the National Library of Medicine, its products and services; a second optional year depending on funding
Where: National Library of Medicine, campus of the National Institutes of Health, Bethesda, Maryland
When: September 1, 2021 – August 31, 2022
Stipend: $59,534; additional financial support for the purchase of health insurance; up to $1,500 in relocation funding
Eligibility: recent graduate (within the past two years) with a master’s in information science/library science
Deadline for applications: Thursday, January 28, 2021
Additional information is available at Associate Fellowship Program: How to Apply .
Contact information: Kathel Dunn, Associate Fellowship Program Coordinator at 301.827.4284 or firstname.lastname@example.org
Who is eligible?
All U.S. and Canadian citizens who will have earned a MLS or equivalent degree in library/information science from an ALA-accredited school by August 2021. Both recent graduates and librarians early in their career are welcome to apply. Priority is given to U.S. citizens.
The National Library of Medicine is located on the campus of the National Institutes of Health in Bethesda, Maryland, just outside of Washington, DC. The 317-acre campus boasts plenty of green space, where we have regular cultural events for staff and the public. Excellent restaurants, shops, transportation, and entertainment make Bethesda a great place to work, and the wealth of museums, monuments, parks, sports and cultural activities in the Washington metropolitan area provides ample recreation opportunities. A metro subway station (Medical Center on the red line) and bus stops on the NIH campus provide access to DC, suburban Maryland, and North Virginia. We also have free parking.
NLM and NIH are dedicated to building a workforce that reflects diversity. NLM hires, promotes, trains, and provides career development based on merit, without regard to race, color, religion, national origin, sex (including gender identity), parental status, marital status, sexual orientation, age, disability, genetic information, or political affiliation.