Frederick National Laboratory for Cancer Research is a leading institution addressing critical issues in biomedical sciences. They are seeking a Post Baccalaureate Fellow in Image Analysis to utilize manual and AI-based techniques for analyzing 2D and 3D electron microscopy datasets to aid in disease discovery.
Responsibilities
- Apply ML/DL and conventional/manual approaches to recognize features from large-volume, high-resolution EM images of cells and tissues
- Adapt and apply existing image processing workflows to EM data to generate visual and quantitative results
- Create clear documentation including appropriately structured metadata, and resilient workflows
Skills
- Possession of Bachelor's degree in computer science, vision science, or a closely related field from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency
- No work experience required with a bachelors degree
- Fluent in using Python, and knowledge of libraries for ML/DL applications (PyTorch) and computer vision (OpenCV, scikit-image etc)
- Ability to obtain and maintain a security clearance
- Experience with ML/DL and image processing applications, with a record of open-source solutions on Github
- Knowledge of high-performance computing environment
Benefits
- Competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Company Overview
Frederick National Laboratory for Cancer Research specializes in developing biomedical research and technology to improve human health. It was founded in 1972, and is headquartered in Frederick, Maryland, USA, with a workforce of 1001-5000 employees. Its website is https://frederick.cancer.gov.
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