FDA fellowship in AI/ML for digital pathology

[Marios Gavrielides]

Hi all, I wanted to let you know about this interesting research opportunity at the FDA.

Thanks,
Marios

Marios Gavrielides, Ph.D.
Division of Imaging, Diagnostics, and Software Reliability
OSEL/CDRH/FDA

FDA Research Fellow Position in artificial intelligence/machine learning (AI/ML) applied to digital pathology

The Division of Imaging, Diagnostics, and Software Reliability (DIDSR) at the Office of Science and Engineering Laboratories (OSEL) in FDA is currently seeking a highly qualified candidate to fill a research fellow position in artificial intelligence/machine learning (AI/ML) applied to digital pathology. The fellow will play a key role in a collaborative project funded by the Office of Women’s Health/FDA, 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 research fellow 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.

Candidates should have a graduate degree earned within the past five years in a relevant field such as computer science, biomedical engineering, electrical engineering, or a relevant field and be proficient in communicating in English.

Preferred candidates should have demonstrated academic or professional experience in the following areas:
- developing and analyzing AI/ML methods (CNN, RNN, GAN, etc.),
- programming with languages such as Python (including scientific stack: NumPy, SciPy, scikit-learn, etc.) or C, and deep learning frameworks (TensorFlow, PyTorch, etc.),
- experience with image analysis, microscopy, or statistical analysis of diagnostic data
- experience with image analysis of histologic whole slide images

The position is tentatively scheduled to begin Sep 1st, 2020 and will be located in the FDA White Oak campus in Silver Spring, Maryland within the metropolitan DC region.

The position is for one year but renewable for the second year, if successful performance is demonstrated. Successful fellows may also be considered for future FDA staff researcher positions. US citizenship or permanent residency is not a requirement. However, the selected research fellow must meet applicable security requirements which include a background check and a minimum of 3 out of the past 5 years’ residency status in the US.

Apply by email to the project principal investigator, Dr. Marios Gavrielides, at marios.ga...@fda.hhs.gov including CV, three reference contacts and a cover letter using the words “AI/ML: patient outcomes” in the email Subject field. Applications should be submitted by Apr 15, 2020. Applicants should also indicate their dates of availability.