Imaging Informatics Post-Doctoral Fellow

Department of Biomedical Informatics (DBMI), University of Arkansas for Medical Sciences (UAMS)
Little Rock, Arkansas 72205
  • Job Type
    Employee
  • Job Status
    Full Time

The Department of Biomedical Informatics at the University of Arkansas for Medical Sciences seeks an Imaging Informatics Post-Doctoral Fellow to support work with the EuCanImage consortium. Funded by the European Commission, this position will help build a federated, secure and scalable European imaging platform to support advanced research in distributed machine learning in support of cancer radiomics. This exciting effort is coupled with ongoing research in cancer imaging informatics and a second federated machine learning research project, both funded by the US National Cancer Institute.

 

This position offers collaborative and independent research opportunities working with Dr. Fred Prior, chair of the department and Principal Investigator. The major responsibilities include: conceptualizing research questions, analyzing data, preparing manuscripts suitable for publication in leading journals, collaborating with Principal Investigators in the department and the research networks we have joined, preparing proposals for external funding, and responding to RFPs. The successful candidate will lead and/or work closely with interdisciplinary staff, faculty and student research teams in all aspect of research. This position is a two-year appointment.

 

The University of Arkansas for Medical Sciences (UAMS) has a unique combination of education, research, and clinical programs that encourages and supports teamwork and diversity. We champion being a collaborative health care organization, focused on improving the health, health care, and well-being of Arkansans.

Requirements

Minimum Qualifications:

  • Doctoral degree in Computer Science, Biomedical Informatics, Biomedical Engineering or a related field by the position’s start date
  • Solid research record with a focus on radiology or pathology image analysis

 

Knowledge, Skills and Abilities:

  • Ability to work collaboratively and as part of an international team
  • Strong knowledge of medical imaging and quantitative image analysis
  • Experience and interest in machine learning techniques applied to image analysis
  • Strong programming experience in languages frequently used in scientific computing, especially for high performance computing and image analysis (Matlab, C++) and managing or converting scientific data (e.g., Python)
  • Domain knowledge in medical imaging and biomedical research

 

UAMS offers amazing benefits and perks:

  • Health: Medical, Dental and Vision plans available for staff and family
  • Holiday, Vacation and Sick Leave
  • Education discount for staff and dependents (undergraduate only)
  • Retirement: Up to 10% matched contribution from UAMS
  • Basic Life Insurance up to $50,000
  • Career Training and Educational Opportunities
  • Merchant Discounts
  • Concierge prescription delivery on the main campus when using UAMS pharmacy

 

Salary offered commensurate with experience.

 

UAMS is an Affirmative Action and Equal Opportunity Employer of individuals with disabilities and protected veterans and is committed to excellence.  If you need a reasonable accommodation for any part of the employment process, please contact us by telephone at (501) 686-6432 and let us know the nature of your request. We will only respond to messages left that involve a request for a reasonable accommodation in the application process. We will accommodate the needs of any qualified candidate who requests a reasonable accommodation under the Americans with Disabilities Act (ADA).

Categories

Department of Biomedical Informatics (DBMI), University of Arkansas for Medical Sciences (UAMS)

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Imaging Informatics Post-Doctoral Fellow

Department of Biomedical Informatics (DBMI), University of Arkansas for Medical Sciences (UAMS)
Little Rock, Arkansas 72205

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