Workforce Development

Mayo Clinic's Center for Clinical and Translational Science (CCaTS) offers internal and external learners various workforce development topics in clinical and translational research. This includes physicians, scientists, nurses, clinical research coordinators, and others in clinical or research roles.

Internal learners at Mayo Clinic can find additional information and modules on our intranet site. Users must be logged in to the Mayo Clinic network to access this intranet site.

Online professional development programs are open for registration to internal and external learners. These programs are self-paced and accessible anytime, anywhere.

Professional development courses on executive education

  • Academic Publishing
    • Learn the full life cycle of scholarly publishing from concept to postpublication.
    • Build skills in crafting transparent, credible and impactful research manuscripts.
    • Explore strategies to navigate peer review, authorship and ethical standards.
  • Essentials of Clinical and Translational Science (ECaTS)
    • Learn essential concepts in clinical epidemiology and applied statistics.
    • Strengthen your ability to analyze, interpret and defend research findings.
    • Designed for all experience levels in clinical and translational science.
  • Grant Writing in the Sciences
    • Learn how to craft competitive National Institutes of Health grant applications with clarity and strategy.
    • Understand the review process and scoring criteria, as well as how to position your research.
    • Develop key components, including Specific Aims, biosketches and scientific rigor.
  • Introduction to Clinical and Translational Science (ICaTS)
    • Build a strong foundation in the principles, methods and applications of clinical and translational science.
    • Learn how discoveries move from the lab to patient care.
    • Gain essential skills in research design, ethics and communication to drive clinical outcomes.

Artificial intelligence (AI) in medical research courses

  • Foundations of Large Language Models in Medical Research
    • Explore how large language models transform biomedical research practice.
    • Develop foundational skills for safe, effective AI use in research.
    • Learn ethical approaches to generative AI in medicine that comply with the Health Insurance Portability and Accountability Act of 1996 (HIPAA).
  • Medical Research With Big Data: The All of Us Research Program
    • Explore and leverage diverse medical datasets with All of Us.
    • Navigate secure data confidently to generate meaningful insights.
    • Advance ethical, secure and privacy-conscious clinical research skills.

Free courses

  • Sample Size Matters
    • Uncover common pitfalls in biomedical data visualization and statistical analysis.
    • Learn best practices to strengthen transparency and reproducibility in research.
    • This course is designed for graduate students and research professionals.

Contact

Direct questions to the CCaTS Workforce Development team.