Imaging Informatics Post-Doctoral Fellow

Posted Date 1 month ago(9/9/2020 9:47 AM)
Requisition ID
2020-68539
Category
Research
Position Type
Regular Full-Time
Department
COM Biomedical Informatics
Post End Date
10/31/2020

Overview

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.  

 

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.

Responsibilities

The successful candidate plays a key role in the EuCanImage program working with colleagues at 20 European sites on distributed data management, data curation (using tools developed in our department) and distributed machine learning for radiomics. The candidate plays a supporting role in a federated machine learning for pathomics project funded by the US National Cancer Institute and makes use or UAMS’s extensive cancer image data collection and expanding high performance computing resources (funded by a new National Science Foundation grant) to explore an area of radiomics research of their choosing. There will also be opportunities to teach as part of a team in our graduate program in imaging informatics.

Qualifications

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 is an Affirmative Action and Equal Opportunity Employer of individuals with disabilities and protected veterans and is committed to excellence.

 

Physical Requirements

Stand: Frequently
Sit: Frequently
Walk: Frequently
Bend, crawl, crouch, kneel, stoop, or reach overhead: Occasionally
Lift, push, pull, carry weight: 10 lbs or less
Use hands to touch, handle, or feel: Frequently
Talk: Frequently
Hear: Frequently
Taste or smell: Occasionally
Read, concentrate, think analytically: Continuously
Physical Environment: Inside Office Environment
Noise Level: Moderate
Visual Requirements: Color discrimination, Depth perception, Far visual acuity, Near visual acuity
Hazards: None

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