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 Computational Image Analysis and Data Processing Manager to provide support for the National Institutes of Health (NIH). This opportunity is a full-time position with MSC and it is on-site in Bethesda, Maryland.
- Categorize and analyze data sets via neural networks and associated deep learning technologies (including but not limited to Google’s TensorFlow library) running on GPU-accelerated and/or cloud based architectures.
- Facilitate quantitative processing and interpretation of highly multiplex immunofluorescent images.
- Analyze tissue samples, mainly from human subjects, to define the phenotype, functionality, and localization of immune and other cells within complex tissue types in both 2D and 3D settings.
- Analysis of biopsy and resection samples from cancer patients receiving various treatments, especially immunotherapies, it is essential to develop integrated tools for processing the complex imaging data generated at Center for Advanced Tissue Imaging (CAT-I), ensure high level image database management, and support facile and protected multi-user access to raw and processed data.
Relevant work experience with evidence of practical application of the following skills is paramount.
- Master’s or Ph.D. degree in an applicable scientific field with substantial expertise in image processing, analysis, and visualization.
- Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, image segmentation strategies and recommendation and optimization algorithms.
- A passion for finding patterns and insights within structured and unstructured data.
- Excellent spoken English is crucial to optimal functioning in the CAT-I environment.
- Software or computational expertise relevant to the indicated goals but not directly involving the type of image-related data to be produced by the CAT-I; willingness to learn and translate of existing skill set to the CAT-I needs.
- Knowledge of parallel programming techniques to categorize and analyze data sets via neural networks and associated deep learning technologies (including but not limited to Google’s TensorFlow library) running on GPU-accelerated and/or cloud-based architectures, facilitating quantitative processing and interpretation of highly multiplex immunofluorescent images.
- Biological research experience and / or past work applying the described methods to biological samples, especially microscopy images, is highly desirable.
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.