An opportunity is available at the U.S. Food and Drug Administration (FDA), Office of Public Health Strategy and Analysis (OPHSA) in Silver Spring, Maryland.
FDA is responsible for protecting and promoting public health through regulation of a wide range of products including medical products, food and tobacco. OPHSA is located in the Office of Policy, Planning, Legislation, and Analysis, in the Office of the Commissioner. OPHSA serves as a resource to the Agency for quantitative and qualitative research and analysis on emerging issues and for advancing work on priority public health initiatives. OPHSA does this through its work on initiatives such as opioids, drug pricing, and transparency, as well as by developing and executing research to link agency activities and outputs to public health outcomes.
Under the guidance of a mentor, potential training projects for OPHSA ORISE fellows include:
1) Developing visual analytical dashboards in Python, Qlik Sense, or Tableau; 2) data analysis of complex, large relational datasets in Python or other analytical tools. As part of these projects, the candidate will be required to script ad-hoc and novel solutions in Python, for example, management of PostgreSQL databases and interacting with web services for data calls.
In addition and under the guidance of a mentor, Fellows will have the opportunity to participate in the following:
1. Analytical visualizations of data from National Poison Control Centers
FDA uses consolidated data from all poison control centers in the US to better understand the potential harm experienced by millions of Americans following exposure to drugs, dietary supplements, or other substances regulated by the Agency. The fellow will have opportunities to increase their understanding of the process to undertake improvement of an existing visual analytical platform, with real-time data updates, for Agency-wide use deployed on AWS cloud.
2. Analysis and visualization of FDA approved first generic drugs and their impact on competition and pricing
Fellows will assist established FDA personnel in data analysis (and visual analytics) for a multi-phase study that seeks to determine the characteristics and marketing status of all first generics approved by FDA since 2010, as well as their impact on generic drug competition and pricing.
Qualifications
The qualified candidate must have received a bachelor's, master's or doctoral degree in computer science, data science, or related fields. Degree must have been received within five years of the appointment start date.
This opportunity is available to U.S. citizens, legal permanent residents, and foreign nationals.
The FDA is actively reviewing applications and is looking to fill positions as soon as qualified applicants are identified.
