Sonja Rasmussen, MD, MS is Professor in the Department of Genetic Medicine at Johns Hopkins School of Medicine. She joined Johns Hopkins after 4 years at the University of Florida (UF) College of Medicine and College of Public Health and Health Professions where she served as a Professor in the Departments of Pediatrics, Epidemiology, and Obstetrics and Gynecology and as the Director of UF’s Precision Health Program. Before joining University of Florida in 2018, she served for 20 years at the Centers for Disease Control and Prevention (CDC) in Atlanta, where she held several scientific leadership roles. She served in leadership roles during several CDC responses to public health emergencies, including 2009 H1N1 influenza, H7N9 influenza, Middle East Respiratory Syndrome (MERS), and Zika virus. Dr. Rasmussen is an author on >280 peer-reviewed publications and is the lead editor of The CDC Field Epidemiology Manual, released by Oxford University Press in 2019. Her research interests focus on understanding the effects of infections and medications during pregnancy, genetic and environmental risk factors for birth defects, and morbidity and mortality associated with genetic conditions. more


  • Professor (PAR) of Genetic Medicine

Departments / Divisions



  • MD; UF Health Shands Hospital (1990)


  • Pediatrics; Massachusetts General Hospital (1993)


  • Genetics; Johns Hopkins University School of Medicine (1994)
  • Genetics; UF Health Shands Hospital (1996)

Board Certifications

  • American Board of Medical Genetics and Genomics (Clinical Genetics and Genomics (MD)) (2020)
  • American Board of Pediatrics (Pediatrics) (1993)

Patient Ratings & Comments

The Patient Rating score is an average of all responses to physician related questions on the national CG-CAHPS Medical Practice patient experience survey through Press Ganey. Responses are measured on a scale of 1 to 5, with 5 being the best score. Comments are also gathered from our CG-CAHPS Medical Practice Survey through Press Ganey and displayed in their entirety. Patients are de-identified for confidentiality and patient privacy.

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