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Mission Statement

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 Summary

• A Postdoctoral Research Fellow position is available at the Michigan Center for Translational Pathology, focused on integrating cancer genomics with advanced computational and AI approaches to develop biologically interpretable clinical models.
• The study has two complementary aims: Multi-omics discovery in solid tumors - Discover disease mechanisms, biomarkers, and therapeutic targets in solid tumors through multi-omics data analysis of large pan-cancer datasets, including proteogenomic data generated across high-throughput profiling platforms from multiple cancer types.
• Clinico-genomic infrastructure & modeling - Establish a comprehensive clinico-genomic database, web resource, and information hub for rare pediatric and adult cancers; develop foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as cancer relapse and targeted therapy response.

Responsibilities*

• Process and preprocess raw data across genomics, proteomics, and epigenomics platforms, including DNA-seq, RNA-seq, ChIP-seq, ATAC-seq, and single-cell sequencing
• Develop genomic and epigenetic analyses and data portals utilizing Oxford Nanopore (third-generation sequencing) data
• Perform in-depth cross-platform omics analyses to identify phenotype-genotype associations, plus downstream statistical analyses
• Train, fine-tune, and validate deep learning models on multi-omics and imaging data to predict clinical outcomes (e.g., relapse, therapy response)
• Develop novel analytical pipelines, tools, and methods for studying cancer multi-omics data
• Build and maintain a comprehensive clinico-genomic database and web resources for rare pediatric and adult cancers
• Integrate single-cell and clinical transcriptome data through new foundational methods
• Collaborate with Pathology teams, interfacing computational analyses with traditional pathology workflows
• Prepare manuscripts describing results for publication in high-impact journals
• Work collaboratively within an interdisciplinary team under the supervision of Principal Investigators and senior research staff, in a fast-paced, dynamic environment

Required Qualifications*

• Graduate PhD degree in Bioinformatics, Applied Mathematics, Statistics, Genomics and Genetics, or related Data Sciences also considered) with relevant experience in bioinformatics and cancer biology
• Demonstrated publication track record
• Strong communication, analytical, and collaborative skills

Desired Qualifications*

• Prior experience analyzing third generation (long-read/Oxford Nanopore) sequencing data
• Experience interfacing computational analyses with traditional pathology workflows

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

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.

Additional Information

The Michigan Center for Translational Pathology (MCTP) is a collaborative effort to foster research advances in molecular medicine and apply those advances as quickly as possible to benefit patient care. MCTP's mission is to establish the University of Michigan as an international leader in the discovery and characterization of disease biomarkers and therapeutic targets, using an integrated, multi-disciplinary systems biology approach to advance personalized medicine through high-throughput sequencing.

More information: https://pathology.med.umich.edu/mctp/

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.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.