Research Fellow

# RESEARCH FELLOW University of Michigan Ann Arbor, MIFull-Time Sep 17, 2026

Education##

Job Description ## 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…