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.

A postdoctoral position is available in the Boyle Lab in the Gilbert S. Omenn Department of Computational Medicine & Bioinformatics and the Department of Human Genetics at the University of Michigan Medical School. The position will focus on bioinformatic analysis and scientific writing in support of ongoing preclinical and translational oncology research projects. This will include dataset organization, quality control, and downstream analysis of high-dimensional molecular data, including CRISPRi screen data, single-cell RNA sequencing data, and circulating tumor DNA-related correlative endpoints for active clinical-translational studies, including UMCC 2022.071. The postdoc will generate analytic summaries, figures, tables, and written material for abstracts, presentations, and manuscripts and will maintain organized, reproducible code and clear documentation of analystic workflows. The postdoc will also collaborate with faculty, trainees, laboratory personnel, and research staff to interpret results, prioritize analyses, attend relevant research meetings and provide regular progress updates. The postdoc will be expected to perform this work with scientific rigor, professionalism, attention to confidentiality, and adherence to all applicable institutional policies related to research conduct, data security, human subjects research, and protected health information.

Applicants should have a Ph.D. in a computational, biological, or related field, with a record of research productivity commensurate with their experience. Strong computational skills and proficiency in languages such as Python, R, C/C++, or Java are expected. Experience with high-throughput sequencing analysis, hidden Markov models, long-read sequencing technologies, or repetitive element genomics is advantageous. The candidate must have strong organizational and communication skills, the ability to work in a collaborative research setting, and a high level of personal motivation. Evidence of scholarly productivity is required, as outlined in prior position descriptions.

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

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.

The University of Michigan is an equal employment opportunity employer.