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 modules at Research Professional Development on Demand (must be connected to the Mayo Clinic intranet).

Online professional development programs are open for registration to internal and external learners. These programs vary in length.

Professional Development Courses on Executive Education

Introduction to Clinical and Translational Science

This foundational course introduces learners to clinical and translational research principles and practices. Through lectures and case studies, participants explore the full research spectrum, from early scientific discoveries to implementation in clinical care.

The course introduces research ethics, regulatory frameworks, study design, epidemiology and biostatistics. Learners also gain insight into writing research proposals, recruiting study participants and applying evidence-based interventions. Emphasis is placed on effectively communicating research findings to diverse audiences and understanding the effect of research on health outcomes. This course is ideal for those seeking to work in research that bridges science and patient care.

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Essentials of Clinical and Translational Science

This course is delivered in two separate units that contain approximately 30 hours of instruction:

  • Principles of Clinical Epidemiology and Statistics in Clinical and Translational Science. This unit presents basic terminology and methodological concepts in epidemiology from a clinical perspective.
  • Statistics in Clinical and Translational Science. This unit introduces statistical methods in various clinical study designs. Coverage of each statistical technique includes identifying what research questions it can address, verifying that assumptions are adequately met and identifying the limitations of the conclusions.

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Medical Research with Big Data: The All of Us Research Program

This course provides an introductory understanding of secure medical data repositories, with a focus on the National Institutes of Health's (NIH's) All of Us Research Program. Participants learn how to navigate the Researcher Workbench; conduct research using large datasets; and adhere to best practices in data security, privacy and ethical considerations. The course also covers support resources and steps to initiate research projects, ensuring researchers are well-equipped to leverage these data repositories effectively.

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Academic Publishing

Publication disseminates information to relevant stakeholders through a journal article (manuscript). Therefore, learning about the process of academic publishing, also called scholarly or scientific publishing, is critical for communicating knowledge to peer reviewers who will evaluate the work's credibility and to end users.

This course delivers approximately seven hours of instruction, taking the learner from defining important concepts to post-publication issues. This includes novel basic science findings, clinical or translational research manuscripts, review articles, case reports, medical education articles that describe teaching methodology and outcomes, published quality improvement projects, or any other scholarly activity worthy of dissemination.

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Grant Writing in the Sciences

This course provides a fundamental introduction to grant writing. To identify a suitable NIH grant for a project, it is crucial to consider the study's objectives, stage of research development and adherence to NIH guidelines. Preparing and submitting an NIH application requires an understanding of the grant preparation and review process and using resources and strategies specific to various research fields.

Recognizing the significance of NIH's scored review criteria and its influence on the overall impact score is essential for funding decisions, alongside acknowledging the importance of preliminary data and a well-structured specific aims page. This course addresses all of these key topics and more.

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Free courses

More information

Direct questions to the CCaTS Workforce team.