Applications should include a CV, research statement and three references. Please send materials to firstname.lastname@example.org with Subject "SIBL Statistical-Modeling Postdoc".
The Systems Imaging and Bioinformatics Laboratory (SIBL) in the Department of Computational Medicine and Bioinformatics, as well as the Departments of Biostatistics and Biomedical Engineering at the University of Michigan is seeking a postdoctoral fellow to develop statistical analysis models for multiparametric & high dimensional imaging datasets. The fellow will be responsible for development of spatial modeling approaches and functional data analysis techniques for image analysis workflows as well as in the development of predictive models to relate image-derived phenotypes and genetics with clinical outcomes. This project is a joint effort between SIBL and Dr. Sebastian Kurtek at Ohio State University, Dr. Karthik Bharath at the University of Nottingham and Dr. Veera Baladandayuthapani (Biostatistics) at the University of Michigan. Project also has opportunities for candidates with interests in spatial, multi-modal, high-dimensional data fusion.
Multiple collaborative opportunities are available at the University. Our collaborators include clinicians and methodologists at the University, including the Michigan Institutue for Data Science (MIDAS) as well as the Precision Health Initiative. Additional opportunities for collaboration are available with faculty in the Radiation Oncology, Engineering and Statistics departments.
PhD in statistics, biostatistics, biomedical engineering, mathematics, or related field.
The ideal candidate will have familiarity with modeling of imaging data, broadly speaking (e.g: candidates with interests in spatial modeling of high-dimensional spatial datasets from geostatistics, functional data analysis, remote sensing, medical imaging, environmental/ecology data etc. are also welcome to apply). Additional desirable qualities include the ability to effectively work both independently and in a team, good communication skills, and a deep commitment for methodology development in the context of cancer biostatistics, bioinformatics & medicine.
Duration: 2-3 years (renewable yearly). Extensions are also allowable. For questions regarding the position, please email Arvind Rao at email@example.com.
Lab and project website: https://sibl.lab.medicine.umich.edu/data-integration-projects
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.
Position will be open until filled.
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.
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.