Position is with: Molecular Imaging Program - Peter L. Choyke, M.D., F.A.C.R. Seeking highly motivated post-doc fellows to join the Artificial Intelligence Resource (AIR) Program within the Center for Cancer Research, National Cancer Institute, National Institutes of Health. This group will focus on translational applications of Artificial Intelligence (AI) and computer vision in medical image analysis, including both radiology, digital pathology, and other medical imaging fields. This dynamic group will work with clinical researchers across NCI to identify AI projects and solutions for oncology tasks related to disease diagnosis, monitoring, and prognosis. All fellows will be expected to interface with senior AIR staff, clinical investigators, and other research fellows during design, development, and testing of algorithms. Fellows should anticipate being involved in all components of database development pertaining to each application, including dataset curation, annotation, and evaluation. Qualifications and Job Details: Degree Required: Ph.D. or equivalent Location: Bethesda, Maryland Appointment Type: Training Position Work Schedule: Full-time position Citizenship: US Citizenship not required - (ie, permanent resident, visa) Stipend: Commensurate with experience REQUIRED SKILLS: Candidates should hold a PhD degree in computer science, biostatistics/informatics, biomedical or electrical engineering, physics, mathematics or related fields. Publication record of prior experience or expertise in quantitative image analysis or deep learning and/or machine learning is required, ideally in computer vision but not required. A successful candidate will be able to demonstrate ability to design and execute independent research projects including peer-reviewed publications, preparing and presenting preliminary data at research conferences, and strong communication skills to broad audience. PREFERRED SKILLS: Candidate should be able to demonstrate programming knowledge/skills in one or more languages including Python, R, MATLAB, C/C++, etc. About the NCI Center for Cancer Research: The Center for Cancer Research (CCR) is home to nearly 250 basic and clinical research groups located on two campuses just outside of Washington, D.C. CCR is part of the National Cancer Institute (NCI) and makes up the largest component of the research effort at the National Institutes of Health (NIH). Centrally supported by long-term funding and a culture of complete intellectual freedom, CCR scientists are able to pursue the most important and challenging problems in cancer research. We collaborate with academic and commercial partners and advocacy groups across the world in efforts to prevent, diagnose and treat cancer and HIV/AIDS. The CCR research portfolio covers the full spectrum of biological and biomedical research. Our work ranges from basic to translational and clinical, and our clinical trials are conducted in the NIH Clinical Center, the world’s largest hospital dedicated to clinical research that offers a robust infrastructure to support CCR’s patients on an estimated 250 open studies. The success of CCR is grounded in an exceptionally strong discovery research program that provides the foundation for the seamless translation of insights from bench to bedside. Read more about CCR, the benefits of working at CCR and hear from our staff on their CCR experiences. Bethesda is one of the most highly educated communities in the United States and has a nationally renowned school system. The city is a thriving suburban center close to Washington, D.C., and home to many restaurants, retailers and a flourishing arts and entertainment district. How to Apply: Submit: CV/Resume Three References Cover Letter Additional Application Information: For more information visit https://ostr.ccr.cancer.gov/air-2/ Contact Name: Elizabeth Bukoski Contact Email: AIR@nih.gov For questions contact: Elizabeth Bukoski, AIR@nih.gov HHS, NIH, and NCI are Equal Opportunity Employers
