A cover letter is required for consideration for this position and should be attached as the first page of your resume. Material should include: 1) cover letter 2) CV, and 3) at least three references including contact information. Reference letters will be requested only for highly qualified candidates. Review of applications will begin immediately and will continue until the position is filled.
Dr. Craig Galban’s Lab within the Department of Radiology at Michigan Medicine of the University of Michigan has an immediate opening for an Imaging Data Analyst to lead software advancement and integration efforts of advanced image-based analytical techniques developed by our group. We seek individuals with the motivation and initiative to expand the successes of the group.
Our group has a long history of algorithmic development of translatable MRI and CT-based biomarkers for disease phenotyping and prediction of therapeutic response. Our mission is to fully exploit the spatial and function information within clinical imaging data with the goal of advancing personalized medicine, both in terms of optimizing disease management, and tailoring treatment to the individual patient. On-going projects include feature extraction for improved COPD subtyping, optimized radiation planning to minimize lung injury in lung cancer patients, and improve detection of deployment related small airways disease in post-combat military personnel. All studies are performed in a multi-disciplinary environment which include scientists, physicians, statisticians and engineers, as well as large clinical trials and industrial partners. In addition to our clinical work, we are working with the PACS team to integrate our clinically-relevant algorithms into the PACS workflow, as well as provide image-based solutions for analyzing preclinical imaging data (e.g. in vivo mouse imaging and microscopy).
Essential Duties and Responsibilities
Collaborate with supervisor and other team members to determine programming objectives
Research and resolve unclear or missing specifications
Provide alternative solutions to time constraining or technically limiting issues
Write code that supports objectives with optimal functionality
Debug and troubleshoot errors effectively and efficiently
Participate in cross-functional projects
Stay informed of industry standards, new technologies and programming techniques
A strong candidate would have expertise in scientific programming and software with a background in theory of digital signal processing, statistics, and machine learning. Understanding of image compression algorithms and methods for working with large datasets (e.g. datasets too big for RAM) is a must, and knowledge of GPU programming/parallelization is a plus. Must have experience, in some combination, with computer engineering, applied mathematics, image processing, machine learning, algorithm design, and software development in languages like C++, Python, Matlab, and R. Proven expertise in these areas (e.g. relevant work experience) is a must and scientific training in large-scale data analysis is an expected component of the position. This position requires a bachelor degree in computer science or related field and 2-3 years’ computer/research experience.
We are seeking a dynamic individual with a demonstrated track record of technical innovation, scientific excellence, and participation in multi-disciplinary team projects. Excellent written and oral communication skills are required for success in our collaborative research environment. 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. The candidate should have demonstrated expertise with state-of-the-art computational methods, with application to imaging data being a plus.
40 hour; day shift
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.
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.
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.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 176424
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.