Data Science Career and Training Opportunities

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The opportunities presented on this page are affiliated with the Office of Data Science and Emerging Technologies (ODSET). Additional opportunities from across NIAID will be added on an ongoing basis. ODSET offers a collegial, multi-disciplinary work environment at the world’s premier research institute for infectious and immune-mediated diseases that is at the forefront of scientific discovery and the global response to pandemics and emerging infectious disease threats.

On this page: Career Opportunities | Training Opportunities

Career Opportunities at NIAID

Supervisory Health Scientist (Data Science) - Deputy Office Director

NIAID’s Office of Data Science and Emerging Technologies (ODSET) is seeking motivated and qualified candidates for a deputy office director (GS-15) position, vacancy announcements are closed. ODSET coordinates the development and implementation of NIAID’s data science strategy. The overall goal of the office is to enable the efficient use of data and computational methods to better understand, treat, and ultimately prevent infectious, immunologic, and allergic diseases. ODSET offers a collegial, multidisciplinary work environment at the world’s premier research Institute for infectious and immune-mediated diseases that is at the forefront of scientific discovery and the global response to pandemics and emerging infectious disease threats. 

Fellowship Opportunities at NIAID

NIAID Emerging Leaders in Data Science Fellowship Program

This fellowship program addresses a critical need at NIAID for expertise in data science and ability to apply those skills to the NIAID mission. The program aims to establish a cadre of talented data scientists (i.e., expertise in biomedical informatics, computational biology, epidemiology, computer science, engineering, applied mathematics, statistics, or related fields) with a keen interest in applying their knowledge and skills to advance NIAID’s research mission. The fellowship program is open to recent advanced degree graduates. Applications are currently paused – please check back frequently for updates.

Presidential Management Fellows Program

The Federal Government’s flagship leadership program for advanced degree holders across all academic disciplines. Application cycles open each fall.

AAAS Science & Technology Policy Fellowships

A yearlong fellowship program providing the opportunity to learn first-hand about policymaking while contributing knowledge and analytical skills to the federal policymaking process. Those with a doctoral-level science degree or a master’s in engineering are eligible to apply. Applications are due on November 1.

ODSET previously hosted Noffisat Oki, Ph.D. as an AAAS Fellow. ODSET is not hosting any AAAS Fellows at the moment.

Coding it Forward – Civic Digital Fellowship

A 10-week internship empowering early-career technologists to explore careers in public service. Applicants must be a current or recent undergraduate or graduate student. Applications are due each year in January.

In the fall of 2020, ODSET hosted Hoyin Chu as a Civic Digital Fellow and, in summer of 2021, hosted both Anuva Banwasi and Snipta Mallick. There are currently no Civic Digital Fellows within the office.

DATA Scholar Program

A one- to two-year position in which Scholars work within an NIH institute, center, or office to optimize and accelerate data science in biomedicine to improve human health and well-being.

Intramural NIAID Research Opportunities (INRO)

A one-year program promoting biomedical research training in allergic, immunologic, or infectious diseases. Applicants must be a senior-level undergraduate or a graduate student. Applications are due in late November.

NIH Postbaccalaureate Intramural Research Training Award (Postbac IRTA/CRTA)

A program providing recent college graduates who are planning to apply to graduate or professional school an opportunity to spend one or two years performing full-time research at the NIH. Applications are allowed on a rolling basis depending on desired start date.

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