What are the responsibilities and job description for the Staff Scientist in Artificial Intelligence Resource position at National Cancer Institute?
Position Description:
The Center for Cancer Research (CCR) at the National Cancer Institute (NCI) invites applications for a Staff Scientist position in the Artificial Intelligence Resource (AIR). This is an opportunity to make meaningful contributions to understanding, diagnosis and treatment of cancer.
Qualified candidates will have a strong background and extensive experience in light microscopy image processing and analysis, machine learning, and deep learning. In this position, the successful candidate will drive the development and implementation of automated image and data processing workflows to analyze large image datasets generated by NCI investigators, including high-throughput imaging, dynamic imaging, and spatial transcriptomics. These projects will involve applying and developing innovative approaches for segmenting (sub) cellular structures from multi-dimensional optical images using both traditional image processing and deep learning techniques, multi-modal image registration, feature extraction, unsupervised classification of phenotypic high-content/high-throughput imaging-based screens and spatio-temporal analysis of single-cell level data.
In addition, the successful candidate will contribute to setting up the strategy for data management and analysis. Finally, they will optimize and implement image analysis pipelines leveraging both on premise and in the cloud computational resources. We are a collegial, innovative, and fast-paced research environment which fosters interdisciplinary interactions daily.
Who We Are
The Artificial Intelligence Resource (AIR) makes AI tools available to NCI Center for Cancer Research (CCR) investigators, particularly in the area of image analysis. AIR focuses on “Computer Vision” which analyzes medical images, such as radiologic, digital pathology, video/endoscopy as well as optical imaging from super/high-resolution, high-throughput microscopy, live cell and intravital imaging and spatial transcriptomics. AIR would like to extend algorithm development to include high throughput microscopy and single cell analysis. AIR consists of a group of image analysis experts who work closely with PIs in a collaborative fashion to solve specific image analysis problems by applying available tools and by developing novel approaches. For more information visit our webpage.
CCR is the intramural research component of NCI. Our mission is to solve the most difficult problems in cancer research. CCR’s enabling infrastructure is based on an exceptional basic research program to facilitate clinical studies at the NIH Clinical Center, the world’s largest dedicated clinical research hospital in all areas of cancer research including genomics, immunology, signaling, metabolism, and computational biology. For an overview, please visit the CCR website.
Qualifications:
The successful candidate will hold a Ph.D. degree in either Image Processing, Computer Vision, Biomedical Engineering, or Quantitative Biophotonics and will ideally have some post-doctoral or equivalent experience. Previous hands-on experience in setting up and managing computational infrastructure for image analysis workflows in a shared environment is desirable, but not essential. Salary is commensurate with experience. A full benefits package is available, including retirement, health insurance, life insurance, long-term care insurance, annual and sick leave, and Thrift Savings Plan (401k equivalent). This position is not restricted to U.S. citizens.
As a condition of employment, all federal employees must be fully vaccinated against COVID-19. During the onboarding process, if selected, you must provide proof of vaccination. An official job offer and continued employment is contingent on this requirement. For more information on this requirement, visit the Safer Federal Workforce page on vaccines. If you need a COVID-19 vaccine, please visit Vaccines.gov.
To Apply:
The search will remain open until a qualified applicant is found. Consideration of applicants will begin on or around December 13, 2021.
Interested individuals should send a brief cover letter, a CV and the contact information for three references to:
Dr. Ismail Turkbey at Ismail.Turkbey@nih.gov.
DHHS, NIH, and NCI are Equal Employment Opportunity Employers
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