The Department of Epidemiology at the Harvard T.H. Chan School of Public Health (HSPH) invites applications from candidates for a faculty position as assistant or associate professor of epidemiology, with a focus on Alzheimer's disease and other sources of age-related cognitive decline.
The successful candidate will contribute to expanding the department's role as a center for clinical epidemiologic research and training. Areas of interest include etiologic and prognostic research, integration of biomarkers and imaging into research studies, and comparative-effectiveness research. He or she will be expected to conduct original empirical research in Alzheimer's disease, other forms of dementia, and age-related cognitive decline and to facilitate departmental engagement in these areas with related efforts within the Harvard Chan School, Harvard Medical School, and Harvard teaching hospitals (e.g., the Nurses' Health Study and the Health Professionals Follow-up Study, the Center for Alzheimer Research and Treatment, and the Massachusetts Alzheimer's Disease Research Center). The successful candidate will also participate actively in teaching and in the direction of training programs in this area.
Candidates must have a medical degree and gradual level training in epidemiology (or substantial experience with the application or development of epidemiologic methods), or a doctorate in epidemiology or a related field with substantial experience in clinical epidemiology. A commitment to research and teaching in the field of Alzheimer's disease and related conditions is also required. Early career investigators are particularly encouraged to apply.
Megan Marchese Academic Appointments Coordinator Epidemiology Department
Contact Email: email@example.com
Equal Opportunity Employer:
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Internal Number: 8817
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