Medical Science & Computing (MSC) is an exciting growth oriented company, dedicated to providing mission critical scientific and technical services to the Federal Government. We have a distinguished history of supporting the National Institutes of Health (NIH) and other government agencies. MSC offers a dynamic and upbeat work environment, excellent benefits and career growth opportunities.
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, Medical and Flexible Spending Accounts, Pre-Tax Transit Assistance and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Medical Science & Computing is searching for a Data Science Expert to support the National Institutes of Health. This opportunity is a permanent, full-time position with MSC and it is on-site in Bethesda, MD.
Biomedical Image Informatics, coupled with machine learning, especially deep learning models, has seen significant growth in recent years as an integral part of data science. It is currently seen as central to further development of techniques for clinical decision making, automated disease screening, automated image indexing for search and retrieval, and automated understanding of scientific literature, and health-related social media communications.
The data scientist will conduct R&D in automated deep learning algorithms for image processing for many clinical modalities, such as x-rays, pathology images, microscope cell images and many others. As an example of a project, he or she will contribute to work toward detecting the presence of cervical cancer and clinically stage it based on colposcopy cervix photos, cytology images and HPV testing in various combinations. The incumbent will use colposcopy cervical photos from different sources, Pap smear cytology images, and results of HPV testing to explore a number of hypotheses about cervical cancer. These will be used as training and testing sets for deep learning models to detect and identify morphological or appearance changes on the images to detect, type, and stage cervical cancer related disorders.
The research directions supported by the candidate include advancing algorithms for: 1) extraction of information from images; 2) enabling better discoverability, such as automated indexing of clinical images; and 3) research in automated disease screening and clinical decision making.
Medical Science & Computing is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.