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Faculty Openings

Tenure-Track Position in Genetic Epidemiology

The Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health invites applications for a full-time tenure-track Assistant Professor with expertise in statistical genetics/genetic epidemiology of complex diseases. Areas of interest include, but are not limited to, genetic epidemiologic methods, diverse/admixed populations, pediatric-centered outcomes, and population genetics. The successful candidate should have a track record of peer reviewed publications, experience conducting research as a principal investigator, and/or co-investigator, and teaching.

The Department of Epidemiology is one of the oldest and largest departments of epidemiology in the world, with over 170 doctoral and masters students and a diverse research program directed by 100+ full-time faculty.  Current faculty members working in genetic epidemiology focus on methodology and application to pulmonary disease, infectious diseases, cardiovascular and kidney diseases, cancer, diabetes, asthma, and birth defects.

Applicants should hold a doctoral degree in Epidemiology or Biostatistics with an emphasis on genetics.  The candidate appointed to this position will be expected to conduct independent and collaborative research in genetic epidemiology from either a theoretical or applied perspective.  The candidate must also be committed to graduate education including formal coursework and mentoring of students and postdoctoral fellows.  Interested applicants should send their Curriculum Vitae, research statement, and the names of three references by September 1, 2018 to

Inquiries for further information should be directed to Dr. Priya Duggal, Search Committee Chair, at   

A link of interest for this position is

The Johns Hopkins University is an equal opportunity/affirmative action employer committed to recruiting, supporting, and fostering a diverse community of outstanding faculty, staff, and students.  All applicants who share this goal are encouraged to apply.