How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
The Preclinical Imaging and Computational Analysis Core (PICA) along with the BRCF Microscopy Core has an immediate opening for a jointly (50/50) funded Biological Image Analyst staff scientist. The overarching goal of this role is to convert image data into biologically or clinically meaningful quantitative results. PICA supports analysis of clinical imaging modalities such as CT and MRI, while the Microscope Core supports analysis of fluorescence (confocal and light sheet) and electron (TEM tomography, FIB-SEM, CLEM) microscopy images. Though not identical, all of these data-types are large (10-1000 GBs), multi-dimensional (3D+), and require an in-depth knowledge of signal and image processing, machine learning, existing tools, and capabilities of underlying hardware.
Both PICA and the Microscopy Core are part of Michigan Medicine and occupy physically adjacent lab space in the heart of the Medical Campus. PICA is directed by Prof. Craig Galban within the Department of Radiology. PICA’s 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. https://www.rogelcancercenter.org/research/shared-resources-and-cores/tumor-imaging www.umich.edu/~cgalbanlab
The Microscopy Core is administered through the Biomedical Research Core Facilities. The Microscopy Core provides state-of-art instrumentation and expertise for microscopic imaging to users from across the University of Michigan and beyond. Samples, as well as image analysis needs, are user-defined and extremely diverse. https://brcf.medicine.umich.edu/cores/microscopy/
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
- Retirement Savings Opportunities
- Collaborate with supervisors, end-users, and other team members to understand image analysis goals and conceptualize solution strategies
- 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.
- Collaborate with IT department to ensure efficient data transfer and management
- Assist with teaching of imaging analysis strategies to other lab members and as outreach to prospective customers
- Stay informed of industry standards, new technologies and programming techniques. Research and resolve unclear or missing tools
An M.S. or Ph.D. in a quantitative or computational science with 4-6 years of experience performing image analysis on at least one of the above listed imaging modalities. 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 with ability to work in a diverse customer based fee-for-service 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.
In addition to required qualifications, an Ph.D. in a quantitative or computational science with first-author publications demonstrating expertise in biological image analysis. 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.
Michigan Medicine values a culture of diversity, equity, and inclusion. Here at Biomedical Research Core Facilities (BRCF), our dedication to customer service isinseparable from our commitment to diversity, equity and inclusion. It is central toour mission as an institutional resource to ensure that each member of ourcommunity has full opportunity to thrive in our environment, for we believe that diversity is key to individual flourishing, educational excellence and the advancement of knowledge.
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.