Assistant/Associate Professor of Biostatistics

The Department of Biostatistics at the Harvard T.H. Chan School of Public Health seeks
candidates to fill a tenure-track faculty position at the assistant or associate professor level.
We seek candidates with backgrounds in biostatistical theory and methods and/or machine
learning and data science, with demonstrated expertise in the development of new methods
as well as a record of collaborative research. We are particularly interested in applicants with
demonstrated research interests in any area relevant to the environmental health and
climate sciences. Responsibilities will include methodological and collaborative research,
and teaching and supervision of graduate students. This faculty member would hold a
primary appointment in the Department of Biostatistics, and a secondary appointment in the
Department of Environmental Health.

The Department of Biostatistics offers an exceptional environment to pursue research and
education in biostatistics while being at the forefront of efforts to benefit the health of
populations worldwide. Our faculty are leaders in the development of methods for the design
and analysis of clinical trials and observational studies, missing data, causal inference,
precision health, network analysis, computational and systems biology, microbiome analysis,
statistical genetics and genomics, neurostatistics, statistical and machine learning methods,
and environmental biostatistics. Our innovative approaches to the analysis of massive
health-related data are strengthened by a deep foundation in theory and application. The
department prides itself on having strong mentoring and a supportive environment for
assistant and associate professors. Our unique and diverse community provides
unparalleled collaborative opportunities with academic departments across Harvard, the
Dana-Farber Cancer Institute, and other world-class Harvard-affiliated hospitals.

Qualified applicants will have a doctoral degree in biostatistics, statistics, mathematics,
computer science, computational biology, or a related field. Candidates are required to have
their doctoral degree at the time of application. Academic rank will be determined in
accordance with the successful candidate’s experience.

In addition to having a keen interest in the development and application of biostatistical
methods and computation in the environmental health sciences, candidates should be
enthusiastic about teaching, training, and mentorship through our graduate programs. Ideal
candidates should also be committed to fostering principles of diversity, inclusion, and
belonging throughout their research and teaching activities.