Research Fellow - Translational Omics Program

Mayo Clinic•Rochester, MN

1d•$67,283 - $78,711•Onsite

About The Position

We are seeking a motivated postdoctoral Research Fellow to join the Translational Omics Program (TOP) and the Department of Medicine (DOM)-led Omics-based Research for Identifying Genomic Insights and New Therapies (ORIGIN) initiative at Mayo Clinic. ORIGIN is a bench-to-bedside translational research program designed to bridge multi-omics discovery with real-time clinical application across DOM divisions. The program leverages deep molecular profiling, functional genomics, and collaborative translational pipelines to improve diagnosis, enable targeted therapies, and accelerate discovery for patients with serious, complex, and rare diseases. Potential projects under ORIGIN are diverse and evolve based on clinical need, emerging discoveries, and collaborative opportunities across Mayo Clinic. Research fellows will be embedded in a highly multidisciplinary environment that integrates clinical medicine, genomics, functional biology, informatics, and population-scale data resources. While computational and AI-enabled approaches may be incorporated, the primary emphasis of this role is on translational biology and genomics rather than method development alone. This position provides advanced training in translational omics research and is intended to prepare fellows for independent academic, translational, or industry research careers.

Requirements

Motivated postdoctoral Research Fellow
Advanced training in translational omics research
Prepare fellows for independent academic, translational, or industry research careers
Develop a strong publication record
Become competitive for external funding

Nice To Haves

Computational and AI-enabled approaches may be incorporated, the primary emphasis of this role is on translational biology and genomics rather than method development alone.

Responsibilities

Design and lead translational research projects aligned with ORIGIN priorities, including patient identification, precision diagnosis, targeted therapy, and discovery
Apply and integrate multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to investigate disease mechanisms and therapeutic opportunities
Collaborate with clinical teams, genetic counselors, laboratory scientists, and external partners to translate findings into clinical or experimental follow-up
Fundamentally understand the current best-practice principles guiding genetic variant interpretation in the context of rare and undiagnosed diseases, as well as preventive (i.e. 'healthy screen') testing
Contribute to the development and improvement of analytical workflows for -omic data types and data integration
Present genetic findings and variant interpretation regularly to internal and external groups
Contribute to genotype-first and cohort-based studies leveraging population-scale resources (e.g., biobanks, reverse phenotyping)
Incorporate computational, statistical, or AI-assisted approaches as appropriate to support biological and clinical questions
Communicate results through presentations, manuscripts, and participation in multidisciplinary case and research conferences
Establish and maintain internal and external scientific collaborations
Routinely write and publish scientific research, case reports, and methods papers