Post-bac & Post-doc Positions in Computer Vision, Medical Image Analysis, Radiology, and Digital Pathology (NCI/NIH)

Thursday 6th August 2020

Closing Date: January 21, 2021

Description: Artificial Intelligence (AI) in Clinical Oncology at National Cancer Institute (NCI), National Institutes of Health (NIH)

Seeking highly motivated research fellows (including post-bac and post-doc positions) to join the Artificial Intelligence Resource (AIR) Program within the Center for Cancer Research at National Cancer Institute (NCI), National Institutes of Health (NIH). 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.

Available Research Fellowship Positions

Post-bac Research Fellows 
• Candidates should hold as BS/BA degree in biomedical related fields (including biology, biochemistry, etc.) or engineering/computer science related fields (including bioengineering, physics, biostatistics, etc.).
• A successful candidate will demonstrate prior research experience (ideally in medical-related fields, though not required), excellent written and oral communication skills 
• Prior programming experience (Python, R, MATLAB, C/C++, etc.) is desired for those with engineering/computer science related background but not required
• 1-year appointments renewable thereafter

Post-doc Research Fellows (computational)
• Candidates should hold a PhD degree in computer science, biostatistics/informatics, biomedical or electrical engineering, physics, mathematics or related fields. 
• Desirable skills: should be able to demonstrate programming knowledge/skills in one or more languages including Python, R, MATLAB, C/C++, etc.
• 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 
• 1-2-year appointments renewable thereafter

Post-doc Research Fellows (medical/health sciences)
• Candidates should hold a MD or PhD degree in fields related to radiology, oncology, or general health sciences
• Publication record of prior medical research experience or expertise, experience in clinical application of quantitative image analysis or AI is desirable 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 
• 1-2-year appointments renewable thereafter

Application Instructions
To be considered for a fellowship position, please submit the following information 
• Provide the type of the fellowship position you are applying for
• Provide your CV/Resume
• Submit a brief personal statement (max 0.5-1 page)

Contact Information
AIR@nih.gov

Organization National Cancer Institute (NCI), National Institutes of Health (NIH)
Location Bethesda, Maryland
Title Post-bac & Post-doc Positions in Computer Vision, Medical Image Analysis, Radiology, and Digital Pathology
URL https://ccr.cancer.gov/molecular-imaging-program
Email Address AIR@nih.gov