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Genomics Phd Jobs in Minnesota (NOW HIRING)

Mayo Clinic

Clinical Geneticist

Rochester, MN

$208K - $708K/yr

This is a position for a board-certified MD or MD/PhD candidate highly skilled in the clinical practice and in clinical trials involving genetics and genomic patients. The ideal candidate should have ...

Mayo Clinic

Clinical Geneticist

Rochester, MN · On-site

This is a position for a board-certified MD or MD/PhD candidate highly skilled in the clinical practice and in clinical trials involving genetics and genomic patients. The ideal candidate should have ...

Mayo Clinic

Clinical Geneticist

Rochester, MN · On-site

This is a position for a board-certified MD or MD/PhD candidate highly skilled in the clinical practice and in clinical trials involving genetics and genomic patients. The ideal candidate should have ...

Mayo Clinic

Clinical Geneticist

Rochester, MN · On-site

This is a position for a board-certified MD or MD/PhD candidate highly skilled in the clinical practice and in clinical trials involving genetics and genomic patients. The ideal candidate should have ...

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Genomics Phd information

What is the difference between Genomics Phd vs Bioinformatics Scientist?

AspectGenomics PhdBioinformatics Scientist
Required CredentialsPhD in Genomics, Genetics, or related fieldBachelor's or Master's in Bioinformatics, Computer Science, or related field; PhD preferred
Work EnvironmentResearch labs, academic institutions, biotech companiesResearch institutions, biotech, pharmaceutical companies, tech firms
Industry UsageDesigns experiments, analyzes genomic data, publishes researchDevelops algorithms, analyzes large datasets, supports research projects

While both roles involve genomic data analysis, a Genomics Phd typically focuses on experimental design and research in genomics, whereas a Bioinformatics Scientist emphasizes computational analysis and algorithm development. Both careers require strong analytical skills, but the Genomics Phd is more research-oriented, often leading to academic or research positions, while Bioinformatics Scientists are more involved in data processing within industry settings.

Does genomics pay well?

A PhD in genomics typically offers competitive salaries, especially in research institutions, biotech companies, and pharmaceutical firms. Salaries can vary based on experience, location, and specific skills such as bioinformatics or laboratory techniques, with many roles offering six-figure compensation for experienced professionals.

What jobs can you get with a genomics PhD?

A genomics PhD can lead to roles such as research scientist, bioinformatics analyst, genetic counselor, or laboratory director. These positions often require skills in data analysis, molecular biology, and familiarity with sequencing technologies and bioinformatics tools.

What are popular job titles related to Genomics Phd jobs in Minnesota?

For Genomics Phd jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Genomics Phd jobs in Minnesota look for?

The top searched job categories for Genomics Phd jobs in Minnesota are:

What cities in Minnesota are hiring for Genomics Phd jobs?

Cities in Minnesota with the most Genomics Phd job openings:

Genomics Phd jobs near you
Infographic showing various Genomics Phd job openings in Minnesota as of August 2026, with employment types broken down into 79% Full Time, 16% Part Time, and 5% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Postdoctoral Research Fellow - Translational Genomics & Proteomics

Mayo Clinic

Rochester, MN • On-site

$49K - $67K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

127th of 889 rated healthcare providers

Job description


The Translational Omics Program (TOP) and the DOM-led ORIGIN initiative at Mayo Clinic are seeking a postdoctoral Research Fellow to help turn molecular data into answers for patients with rare and complex disease. This is a genomics-first role for a scientist who wants to work where variant interpretation, proteomic signal, and clinical reality meet and who is drawn to the idea that the next gene-disease link or therapeutic lead may already be sitting in data that hasn't yet been read the right way.
We are seeking talented individuals and will tailor projects accordingly to background such as a molecular biologist with some informatics training who wants to sharpen their computational skills, or a data scientist with some molecular biology training who wants to point their methods at real disease biology. What matters most is genuine depth in one of these areas, the curiosity to grow into the other, and a real pull toward patient-focused discovery. The work is translational and genomics-centered, and computational and AI-enabled methods are tools we use to get there rather than the point of the work.
ORIGIN is a bench-to-bedside translational research program built to connect multi-omics discovery with real-time clinical care across DOM divisions. It draws on deep molecular profiling, functional genomics, and collaborative translational pipelines to sharpen diagnosis, open targeted therapies, and accelerate discovery for patients with serious, complex, and rare disease. Fellows work inside an unusually complete research ecosystem including large patient-linked biobanks, genome and exome sequencing, plasma proteomics at scale, and direct access to the clinicians, genetic counselors, and laboratory scientists who care for these patients.
Projects evolve with clinical need, emerging discoveries, and collaborative opportunities across the institution, and fellows are encouraged to shape their own. Several directions are especially open right now:
  • Integrated omics models. Bringing genomic and proteomic data together into a single framework - including AI/ML approaches - to resolve rare and monogenic disease, rather than reading each -omic layer in isolation.
  • New therapies and new associations. Using that integrated view to surface novel therapeutic avenues and establish new gene-disease associations.
  • From the individual to the population. Developing methods and models that bridge the gap between rare monogenic diseases identified in phenotypically selected patients and the role that same variation plays across population-scale datasets connecting deep-phenotype discovery with biobank-scale validation, and back again.

This position provides advanced training in translational omics research and is designed to prepare fellows for independent careers in academia, translational medicine, or industry. Fellows are supported to publish routinely and to build the track record needed to compete for external funding.
Responsibilities
Responsibilities are shaped to the fellow's background and evolving project, so a given fellow will lean into some of these more than others:
  • Design and lead translational research projects aligned with ORIGIN priorities, spanning patient identification, precise diagnosis, targeted therapy, and discovery.
  • Analyze and integrate multi-omics data, especially with genomics and proteomics (e.g. Olink) at the core - to investigate disease mechanisms and surface therapeutic opportunities, extending to other -omic layers as projects require.
  • Perform variant classification and interpretation following ACMG/AMP guidelines in rare and undiagnosed disease as well as preventive ("healthy screen") testing and communicate that reasoning clearly to clinical and research audiences.
  • Build integrated genomic-proteomic models, including AI/ML approaches, to elucidate monogenic disease, identify new gene-disease associations, and nominate therapeutic avenues.
  • Contribute to genotype-first and cohort-based studies that connect deeply phenotyped patients to population-scale resources such as biobanks and reverse-phenotyping pipelines.
  • Work with clinical data alongside molecular data to link genetic and proteomic findings to patient phenotypes and outcomes.
  • Collaborate with clinical teams, genetic counselors, laboratory scientists, and external partners to move findings into clinical or experimental follow-up.
  • Present genetic findings and variant interpretations to internal and external groups and take part in multidisciplinary case and research conferences.
  • Communicate results through manuscripts, presentations, case reports, and methods papers, and publish routinely.
  • Establish and maintain productive internal and external scientific collaborations.

Qualifications
Qualifications
Required (all candidates)
  • PhD, MD, or equivalent in a relevant field such as genetics, genomics, molecular biology, bioinformatics, computational biology, data science, or a related discipline.
  • Genuine depth in one of the two core areas below, together with the aptitude and eagerness to grow into the other.
  • A real interest in translational, patient-focused discovery and comfort interpreting wet-lab and computational findings.
We're open to either of two profiles
If you come from genetics and molecular biology:
  • Strong grounding in disease biology, functional genomics, or molecular mechanism.
  • Some informatics or programming training (e.g., scripting, sequence analysis, working with sequencing data) and the drive to deepen it.
  • Experience with variant classification and ACMG/AMP interpretation is a strong plus.

If you come from data science:
  • Strong quantitative and computational skills applied to biological, clinical, or other complex, high-dimensional data.
  • Some molecular biology or genetics training and the drive to deepen it.
  • Experience with genomic, proteomic, or other multi-omics datasets is a strong plus.
Preferred (either background)
  • Experience integrating proteomic data (e.g., Olink) with genomic data, and a track record of reasoning across -omic layers.
  • Familiarity with AI/ML methods for multi-omics integration, biomarker or phenotype discovery, or extracting signal from clinical data.
  • Prior work with population-scale or biobank cohorts, genotype-first study designs, or reverse phenotyping.
  • A strong publication record and the writing habits to sustain one.

About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

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About Mayo Clinic

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Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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