The ORISE Research Participation Program at the U.S. Food and Drug Administration is an educational and training program designed to provide college students, recent graduates, and university faculty opportunities to connect with the unique resources of the FDA. With the support of an assigned mentor, participants have authentic research experiences using equipment not found on most college campuses. These research experiences compliment the educational nature of the programs and make participants aware of potential STEM employment opportunities at the sponsoring agency. Participants will have access to unique research and training opportunities, top scientists and engineers, and state-of-the-art facilities and equipment. New ORISE Research Participation opportunities are available in the U.S. Food and Drug Administration! A few open positions have been posted here, however you can visit the ORISE website to view and apply for more positions!
| Postgraduate Data Science Fellowship Center for Food Safety and Applied Nutrition | College Park, MD | MONTHLY STIPEND PROVIDEDUnder the guidance of a mentor, the participant will learn about the types of information required to assess the safety of substances added to, or that come into contact with food. The participant will also learn what types of data and data sources are used by the agency to assess the safety of substances added to food. The participant will observe how to architect, develop and construct an operational data store to be used for advanced analytics. The participant will get hands-on experience with how to develop a data product that utilizes data housed in the knowledgebase. |
| Artificial Intelligence/Machine Learning Fellowship Artificial Intelligence/Machine Learning Fellowship | Silver Spring, MD | MONTHLY STIPEND PROVIDED Under the guidance of a mentor, the participant will play a key role in a collaborative project funded by FDA’s Office of Women’s Health (OWH), involving DIDSR staff, associates in other divisions within FDA, and external clinical collaborators (Washington Univ. at St Louis School of Medicine, Univ. of Maryland School of Medicine, Johns Hopkins Hospital) to develop and evaluate AI/ML algorithms linking histological data from whole slide images and related clinical factors to patient outcomes. The selected participant will have a chance to interact with a multidisciplinary group of scientists within the division and to learn about regulatory science issues at the FDA. VIEW/APPLY |
| Clinical Pharmacology Fellowship Center for Drug Evaluation and Research | Silver Spring, MD | MONTHLY STIPEND PROVIDED This project investigates multiple patient factors, alone or in concert, and their effect on drug disposition (for example: age, gender, genetics, organ dysfunction, drug-drug interactions, etc). Under the guidance of a mentor, the participant will learn about policy evaluations that will advance new drug development and promote therapeutic individualization. The participant will engage with the mentor in regulatory science research efforts to support development of both scientific and regulatory policy for the Office of Clinical Pharmacology. Activities may include literature review, analysis of existing and proposed policy, and/or construction of a knowledge base to store research data and inform further investigations. VIEW/APPLY |
| Postgraduate Data Science Fellowship Center for Food Safety and Applied Nutrition | College Park, MD | MONTHLY STIPEND PROVIDED Under the guidance of a mentor, the participant will learn about the types of information required to assess the safety of substances added to, or that come into contact with food. The participant will also learn what types of data and data sources are used by the agency to assess the safety of substances added to food. The participant will observe how to architect, develop and construct an operational data store to be used for advanced analytics. The participant will get hands-on experience with how to develop a data product that utilizes data housed in the knowledgebase. VIEW/APPLY |