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RTP - Research Fellow - BST

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Mayo Clinic

1mo ago

🚀 Off-cycle Internship


AI generated summary

  • You need a relevant Ph.D., M.D., or equivalent degree & completed no more than one prior postdoc. Provide CV, proof of degree, & bibliography.
  • You will utilize -omic data analysis and bioinformatics to develop tools for rapid variant classification, collaborate with researchers, and write and publish scientific findings on genetic variant interpretation.

Off-cycle Internship

Research & DevelopmentRochester


  • 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. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.


  • The following is required for completeness of application:
  • Current curriculum vitae with bibliography
  • Proof of MD, PhD, or MD/PhD 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.
  • Qualifications:
  • 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.

Education requirements


Area of Responsibilities

Research & Development


  • Use experience in -omic data analysis, bioinformatics, and data science to design the next generation of genomic data interpretation tools facilitating rapid and automated variant classification and data reannotation
  • Fundamentally understand the current best-practice principals guiding genetic variant interpretation in the context of rare and undiagnosed disease, as well as preventive (i.e. 'healthy screen') testing
  • Propose and facilitate research efforts to functionally characterize variants or genes of uncertain significance to determine pathogenicity
  • Propose and facilitate research efforts to evaluate new methods arounds structured phenotype extraction, literature mining, and data integration
  • in support of assessing variants or genes of uncertain significance to determine pathogenicity
  • Communicate effectively with internal and external clinicians, researchers, and laboratorians
  • Establish and manage internal and external collaborations
  • 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
  • Routinely write and publish scientific research, case reports, and methods papers


Work type

Full time

Work mode