Master the art of medical research& innovation.
World-class trainings by mentors publishing at leading institutions across four continents — from your first research question to your first published paper.
Our instructors trained in
In partnership with
Explore fields that move medicine forward
Every category is taught through the lens of real medical research — not generic theory.
MedRC Foundation Course
The MedRC Foundation Course is a practical and structured introduction to the essential skills needed to understand, conduct, and communicate medical and clinical research. The course includes more than 26 lessons combining interactive lectures, practical exercises, homework assignments, and applied research activities. All lectures are recorded, and students complete short assignments to reinforce key concepts and apply what they learn. Students also participate in a mock peer-review exercise using a sample scientific manuscript. They learn how to evaluate a study’s methodology, statistical analysis, results, and conclusions, and how to provide structured reviewer feedback. The course introduces large language models (LLMs) as interactive tools for learning and supporting statistical analysis. Students learn how to use LLMs to understand statistical concepts, select appropriate tests and models, assist with statistical code, interpret results, and identify potential errors or inappropriate analyses. Throughout the course, examples from real-world medical research connect concepts to practice. Students see how research questions develop into studies and how those studies are designed, analyzed, written, reviewed, and published . The course is designed for medical students, physicians, healthcare professionals, and early-career researchers who want to build a strong, practical foundation in medical research.
Includes $20 for LLM/AI usage
Enroll NowMedRC Foundation Course
From enrolment to your first publication
A single, mentored path — the same three steps every student follows at MedRC.
Enroll and get your access
Buy the course, our team confirms your enrollment, and your lessons unlock in your dashboard — recorded content ready whenever you are.
Learn live with mentors who publish
Attend live sessions and workshops with mentors from Harvard, Mayo Clinic, Seoul National and more — questions answered in real time, not months later on a forum.
Finish with real research work
Every module ends in an applied deliverable — a research question, an analysis, a manuscript draft — so you leave with a portfolio, not just a certificate.
Learn from researchers who publish, review, and mentor
A professional team from four continents — physicians, pharmacists, and researchers.
Dr. Muhammed Amir Essibayi MD, MS, FRCP
Statistical Analysis & Academic Writing
Area of interest: Neurosurgery & Radiology
Dr. Ahmed Y. Azzam MD, MEng, MRCSEd, DSc (h.c.)
LLM Models & Meta-analysis
Area of interest: Neurology & Psychiatry
Dr. Mahmoud Osama MD
Medical Illustration
Area of interest: Neurosurgery
Dr. Hasan Jamil MD, MPH, PhD(pending)
Analytical & Molecular Epidemiology
Area of interest: Neurology
Ph. Duha Essibayi MSc Pharmacist
Course Manager & Organizer
Area of interest: Pharmacy
Fatima Almalki BMath (Hons. Statistics), Minor in Biology
Data Analyst · Course Manager
Dr. Muhammad Soubhi Jabal MD, MS
Clinical AI & LLM Systems
Area of interest: Neurology & Radiology
Hamza Adel Salim MD
Clinical Research, Biostatistics & ML
Area of interest: Radiology
Dr. Mohammad Bakri Hammami MD
Clinical Research, stem cell transplantation, Cancer Outcomes Research & Medical Education
Area of interest: Hematology & Medical Oncology
Marwan D. Jaber MD Candidate
Systematic Reviews & Meta-Analyses
Area of interest: Cerebrovascular Neurosurgery & Neuroscience
What our instructors say about the course
Reviews of the material from the researchers who built and vetted it — not student testimonials.
The curriculum was built the way I wish research had been taught to me — the fundamentals come first, and every module ends in something a student actually has to produce.
The statistics track is unusually honest about what clinicians need to understand before they run a model — it stays close to how journals actually evaluate a paper.
The mentors reviewing student work publish for a living. Access to that kind of feedback at this stage of training is rare, and it is the single thing that most changes outcomes.
Start your research journey today
Join students from around the world learning medical research the right way.
Register Now