Research Fellow-Statistical Genetics/Statistics Programming - Rochester - job 1198254

Mayo Clinic

Date: 09/12/2021

City: Rochester, Minnesota

Employment type: Full-time








Cardiovascular Medicine

Why Mayo Clinic

The Research shield at Mayo Clinic is committed to creating a diverse environment and recognizes that diverse research teams make better decisions, are more equipped to solve complex problems and adapt to change, and produce better outcomes. That diversity is about opening up to unconventional ideas that create better outcomes, while recognizing colleagues' unique contributions. Become part of the legacy that embraces these differences and enables us to provide the best care to patients from all over the world.

Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary.

Position description

Postdoctoral positions are available for eligible candidates with training in statistical genetics/statistics, programming/machine learning, data science and statistics.

  • Our laboratory focuses on genomic studies of cardiovascular traits and implementation of genomics into clinical practice.

  • The approaches we use include; genome and exome-wide association studies using high-density SNP arrays (common variants as well as rare variants), whole exome/genome sequencing in families with cardiovascular disease, Phenome wide association studies (PheWAS), variant annotation and electronic phenotyping algorithms.

  • Our laboratory is part of a large-scale translational genomics initiative, the eMERGE network ( established by the National Human Genome Research Institute and has access to large genotyping and sequencing datasets.

  • The candidate should be able to analyze such data and have a Ph.D., M.D., or equivalent doctoral degree in biostatistics, statistics/statistical genetics or data science.

  • The candidate is expected to gain cross-disciplinary training in statistical genetics, genetic epidemiology, bioinformatics and translational genomics.

Candidate should have demonstrated abilities performing statistical genetics analyses (GWAS/PheWAS/etc), and coding ability using one or more statistical programing languages (R/SA/etc). Experience with machine learning or artificial intelligence is preferred.

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic.

The following is required for completeness of application:

  • Current curriculum vitae with bibliography

  • Proof of doctoral degree (copy of diploma or final transcript with English translation, if applicable) or a letter from your university's Registrar office indicating you have fulfilled all doctoral program requirements and are eligible to graduate.

Please also be prepared that you may be asked to provide three letters of recommendation to the hiring PI prior to an interview.


Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere.

Benefits eligible



Full Time

Site description

Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life.


Postdoc & Temporary Research

Career profile



Cardiovascular Diseases

Job posting number



Kara Schott

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