Please review the job summary and apply with a cover letter stating your interest in the position and outline skills and experience that relate to this position along with research interests, career aspiration.

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.

The Kaczorowski lab is seeking a computational biologist who is active at the intersection of single-cell biology and machine learning to join our group. The successful candidate will apply and develop bioinformatics, statistical, machine learning, and/or deep learning approaches to analyze single-cell and spatial data, including single-cell RNA-seq (scRNA-seq), single-nucleus ATAC-seq (snATAC-seq), and 10x single-cell multiome data. The primary responsibilities of the Computational Scientist include deriving biological insight from single-cell sequencing data across neurodegenerative dementias and developing novel methods for computational analysis of emerging technologies, implementing reproducible research practices, providing analysis support for Kaczorowski lab members (both with and without computational experience), and working with our external investigators and consortia (AMP-AD and Resilience-AD) to support knowledge sharing across related projects and help ensure expected milestones are met.

This position is remote.

The Kaczorowski lab is in the Department of Neurology at the University of Michigan Medical School located in Ann Arbor, Michigan. The city is ranked among the top 10 places to live in the U.S, with a community that is pedestrian and bike friendly. The Michigan Neuroscience Institute (MNI) continues to be a leader in innovative, collaborative, and visionary research in the areas of brain science and brain impacting diseases. MNI?s cross-disciplinary research portfolio reflects the full range of basic and translational projects from molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu or on Twitter @KaczorowskiLab.

• Analyze scRNA-seq, snATAC-seq, multi-omic RNA-/ATAC-seq, and/or spatial transcriptomics data from quality control through generation of actionable results under minimal supervision.
• Ensure proper documentation and data sharing, including to public repositories (e.g., AD-Knowledge Portal).
• Implement and maintain reproducible research practices.
• Develop and publish manuscripts related to using multi-scale data for predicting disease and biological phenotypes from single-cell sequencing data.
• Provide leading contributions to internal and external grant applications.
• Assist lab members designing single-nuclei and related experiments and/or analyzing the resulting data.
• Perform additional duties as assigned, according to research or lab needs.

• Education: Masters degree in bioinformatics, statistics, biostatistics, computer science or a related field. Doctoral degree preferred. An equivalent combination of education and experience may be accepted.
• Proficiency in R and/or Python with experience performing independent analyses of complex datasets.
• 3+ years of experience analyzing 10x single-cell, single-nuclei datasets, and/or multiome data.

• Excellent organizational and time management, verbal and written communication skills.
• Ability to maintain data storage and familiarity with utilizing Linux-based high performance computing (HPC) resources.
• Demonstrated ability to integrated into a team setting.
• An ability to explore and research new technologies and biological domains and meet new challenges creatively and with limited supervision.

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 savings

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.