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.
Who Can Apply
- Applicants must be U.S. citizens and must have a master’s or doctoral degree earned within the past 5 years or anticipated prior to appointment date.
- Degree should be in computer sciences; engineering; physical sciences; or life, health, or medical sciences.
About the Program
This is a rotation-based learning program. Fellows will perform projects (each lasting for up to 6 months) as they rotate through NIAID divisions. Each fellow will be responsible for coordinating his/her rotations. We encourage the fellows to participate in a variety of developmental assignments during their fellowship to broaden their perspectives on the mission of NIAID and NIH, strengthen technical competencies, acquire a broad understanding of data needs at NIAID from a variety of views, and further develop their leadership abilities.
Fellows will receive training and hands-on experience in data analytics, informatics strategies, computational platforms, and software development to study infectious diseases and immune-mediated disorders in NIAID’s intramural and extramural programs. They will receive training at the intersection of disease-oriented and data-intense research efforts.
In addition, the program provides trainings to strengthen fellows’ scientific, technical, and leadership competencies. Fellows will receive personalized career and scientific mentorship from NIAID advisors. Each fellow is also encouraged to select a mentor at the start of the program, who can advise them on rotation opportunities and career goals.
How To Apply
The program is administered by Oak Ridge Associated Universities (ORAU) that manages the Oak Ridge Institute for Science and Education (ORISE) and has been established through an interagency agreement between the Department of Energy and NIAID.
- Applications Deadline: 3/25/2022 11:59:00 PM Eastern Time
Candidates for the 2022-2024 Program will be interviewed between April and June 2022.