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