Research Fellow - Translational Omics Program
About The Position
We are seeking a motivated postdoctoral Research Fellow to join us - 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
- MD, PhD, or MD/PhD in genetics, genomics, molecular biology, computational biology, or a related biomedical field
- Demonstrated research experience in translational science, functional genomics, or multi-omics analysis
- Strong interest in clinically relevant research and team-based translational science
- Evidence of scholarly productivity (peer-reviewed publications)
- Ability to work collaboratively in a multidisciplinary research environment
- Proof of English proficiency is required for J‑1–sponsored trainees.
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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
