Website University of Michigan
ORGANIZATIONAL GROUP: Medical School
DEPARTMENT: MM Department of Radiology
The Department of Radiology at Michigan Medicine of the University of Michigan has an immediate opening for software engineer for individuals interested in the development and application of advanced image-based analytical techniques in the field of thoracic radiology. The overarching goal of this role is to convert image data into biologically or clinically meaningful quantitative results. Candidate will support faculty and staff in analyzing data from clinical imaging modalities such as CT and MRI. The candidate will be responsible for assisting faculty and staff with parallel batch processing of large multi-dimensional data using the high-performance computing cluster.
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Why Join Michigan Medicine?
Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.
What Benefits can you Look Forward to?
- Excellent medical, dental and vision coverage effective on your very first day
- 2:1 Match on retirement savings
- 20%-Collaborate with supervisors, and other team members to understand image analysis goals and conceptualize solution strategies.
- 50%-Independently conceive and write code, often leveraging existing tools, that efficiently executes desired analysis objectives. Find alternative solutions to time constrained or technically limiting issues. Debug and troubleshoot effectively.
- 10%-Collaborate with IT and ARC-TS departments to ensure efficient data transfer, management and processing on the HPC cluster.
- 10%-Assist with teaching of imaging analysis strategies to other lab members and as outreach to prospective customers.
- 10%-Stay informed of industry standards, new technologies and programming techniques. Research and resolve unclear or missing tools.
- Bachelor’s degree in computer science or related field and 2-3 years computer/research experience.
- Must have demonstrated expertise in scientific programming, knowledge of signal processing and machine learning, and familiarity with existing image analysis software.
- Exceptional written and verbal communication skills in English with ability to work in a diverse laboratory environment.
- The applicant should be detail oriented, show a willingness to learn new skills, and work both independently and as a team player.
- The applicant must be ambitious, talented, and self-motivated with an interest in leveraging our research interests, as this position emphasizes the ability to learn new concepts and skills quickly.
- M.S or PhD in a quantitative or computational science (e.g. biomedical, electrical or computer engineering) with 4-6 years of experience performing image analysis on at least one of the above listed imaging modalities.
- Expertise in computational science and image analysis with first-author publications.
- Experience, in some combination, with computer engineering, applied mathematics, image processing, machine learning, algorithm design, and software development using C++, Python, MATLAB, and/or R.
- Knowledge of common image analysis libraries (relevant MATLAB toolboxes, scikit-image, ITK etc.).
- Understanding of challenges of transferring and analyzing large datasets (e.g. too big for RAM) and knowledge of GPU programming/parallelization and image compression strategies is a plus.
- Broad knowledge of capabilities of commercially available analysis packages such as FIJI, ARIVIS, CHIMERA, 3D-SLICER, PMOD etc.
Building/rm # BSRB AC51
Zip + 4 48109-2200
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.
U-M COVID-19 Vaccination Policy
COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine. This includes those working remotely. More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.
Job Opening ID
Research Computer Specialist
Research Computer Specialist
Ann Arbor Campus
Ann Arbor, MI
MM Department of Radiology
Posting Begin/End Date
7/25/2022 – 8/01/2022
To apply for this job please visit careers.umich.edu.