Ernst J Schaefer

Ernst J. Schaefer has held various positions throughout their work experience. Ernst J started their career at the National Institutes of Health in 1975 as a Senior Investigator and worked there until 1982. Ernst J then moved to Tufts University, where they became a Professor and Senior Scientist in 1982. In 2007, Schaefer joined Boston Heart Diagnostics as the Chief Medical Officer and Laboratory Director, and they continued serving as the Chief Medical Officer in the same company.

Ernst J Schaefer has an extensive education history in the medical field. Ernst J began their education at Harvard University in 1964, where they received a Bachelor of Arts (BA) degree in Biology. Following this, from 1968 to 1970, Schaefer attended the Geisel School of Medicine at Dartmouth, obtaining a Bachelor of Medicine and Bachelor of Surgery (MBBS) degree.

Continuing their medical studies, Schaefer attended the Icahn School of Medicine at Mount Sinai from 1970 to 1972, where they earned their Doctor of Medicine (MD) degree. During these years, they also pursued studies in Medical Science at Dartmouth Medical School and Mount Sinai School of Medicine, receiving a Bachelor of Medical Science (BMS) degree.

Schaefer then joined the Mount Sinai Hospital in New York, NY, from 1972 to 1975, for their Medical Residence in the Internal Medicine Residency Program. Following this, they went on to complete an Endocrinology Fellowship at the National Institutes of Health from 1979 to 1981, focusing on Endocrinology, Diabetes, and Metabolism.

In addition to their education, Schaefer has obtained several certifications, including Internal Medicine certification from the American Board of Internal Medicine. Ernst J is also certified in Lipidology from the National Lipid Association and is a Fellow of the Council of Arteriosclerosis, Thrombosis and Vascular Biology of the American Heart Association.

It is important to note that the information provided does not mention any obtained month/year for the certifications, and no strong assumptions can be made about them.