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Job Summary

The Rao Lab in Department of Ophthalmology & Visual Sciences, the University of Michigan Medical School seeks to understand pluripotent stem cell biology, genomics, epigenetics and epitranscriptiome as languages to better understand how the retina forms, so that we can learn new ways to generate the retinal cells that die in disease, with the hope of regenerating cells through cell or drug therapies. We are interested in recruiting bioinformatics research fellow with training in computational biology or biostatistics. relatstatistics, mathematics, or a related field.statistics, mathematics, or a related field.bioinformatics, statistics, mathematics, or a related field.

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 savingsResponsibilities*Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience) to perform data analysis on next generation sequencing data generated in Rao lab. The NGS data for analysis includes DNA (bulk ATAC-seq, Cut & Run, ChIP-seq, 3-D Micro-C), RNA (bulk RNA-seq), RNA modifications (Nanopore-seq, GLORI and DART-seq), single cell multiomics (snATAC-seq and snRNA-seq) and intergration of DNA/RNA/RNA modification data.Development of routine and novel analysis approaches to interpret bioinformatics/clinical and/or mutiomics data and adjust recommend approaches to experimental design and analysis.Actively review new publications and adapt emerging methods and approaches to existing projectsRequired Qualifications*PhD degree in bioinformaticsMinimum 1 year of relevant experienceHands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain data storage and usage of high-performance computing resources provided at University of Michigan (Turbo Storage Globus, DataDen)Gene Expression Omnibus (GEO) data deposit for manuscript submission and acceptanceExcellent organizational and time management, verbal and written communication skills
 Desired Qualifications*

The ideal candidate will have extablished experience working in Python and/or R, and will also have hands-on experience analyzing single cell multiomics (snATAC-seq and snRNA-seq)

Modes of Work

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.

Background Screening

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.

Application Deadline

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 Statement

The University of Michigan is an equal employment opportunity employer.