FDA Testing Automatic Language Translation Program Fellowship
*Applications will be reviewed on a rolling-basis.
A research opportunity is available in the Office of Pharmaceutical Quality/Office of Surveillance, Center for Drug Evaluation and Research (CDER), Food and Drug Administration (FDA) in Silver Spring, Maryland.
The Office of Surveillance deals with a high volume of structured and unstructured data related to regulated facilities and products and has limited resources to perform manual reviews. There is a need to apply modern statistical approaches, such as data mining, machine learning and predictive analytics to analyze bigger, more complex data and deliver faster, more accurate results. The objective of this project is to research these available methods, test their application, and compare results to identify the most robust approaches.
Under the guidance of a mentor the participant will learn to evaluate and enhance an automated (i.e., machine) language translation program, identify techniques used by other industries (e.g., automotive, retail) to monitor product performance and customer sentiment, and test the identified methods using pharmaceutical quality data. This experience will enhance their overall training and development in computer science, bioinformatics, and as a scientist.
Qualifications
The qualified candidate should be currently pursuing or have received a bachelor's, master's or doctoral degree in one of the relevant fields. Degree must have been received within five years of the appointment start date.
Preferred skills:
- Knowledge in machine translation system, artificial intelligence (AI), or machine learning (ML)
- Knowledge in multiples languages, especially Spanish, French or Italian
- Knowledge in medical, chemical and pharmaceutical terms
If you have questions, send an email to ORISE.FDA.CDER@orau.org. Please include the reference code for this opportunity (FDA-CDER-2020-0507) in your email.