Title: Assistant/Associate Professor of Biostatistics School
Harvard T.H. Chan School of Public Health
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 quantitative health science research in areas such as 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. Candidates with a broad range of research interests are welcome and encouraged to apply; particular attention will be paid to applicants whose areas of interest include methodological work in statistical and population genetics and/or causal inference. Responsibilities will include methodological and collaborative research, and teaching and supervision of graduate students.
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 statistics. 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, epidemiology, or a related field. Candidates are required to have their doctoral degree at the time of application and two years or more of postdoctoral or equivalent research experience by the time of the appointment start date; academic rank will be determined in accordance with the successful candidate’s experience.
Particular attention will be paid to applicants whose areas of interest include methodological work in statistical and population genetics and/or causal inference. In addition to having a keen interest in the development and application of biostatistical methods and computation in 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.
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.
Minimum Number of References Required: 4
Maximum Number of References Allowed: 6
1. Curriculum Vitae
2. Cover Letter
3. Statement of Research
5. Publication 2