Job:Assistant/Associate Professor, Data Sciences - Clinical Trials
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Assistant/Associate Professor, Data Sciences - Clinical Trials
Dana-Farber Cancer Institute/Harvard TH Chan School of Public Health
Boston, MA

The Departments of Biostatistics at the Harvard T.H. Chan School of Public Health, and Data Sciences at the Dana-Farber Cancer Institute offer exceptional environments in which to pursue research and education in quantitative public health while being at the forefront of efforts to benefit the health of populations worldwide. The departments work closely together and many faculty members have joint appointments. Areas of expertise in Biostatistics include design and analysis of clinical trials and observational studies, missing data, precision health, network analysis, computational and systems biology, microbiome analysis, neurostatistics, and environmental statistics. Areas of expertise in Data Sciences include statistical methodology, clinical trial design, health systems data analysis, computational biology, knowledge systems, and machine learning, processing next generation sequencing data, statistical packages for analyzing high-throughput data, and machine learning pipelines that integrate diverse, complex datasets. Research in both departments is enabled by access to a number of large longitudinal studies and extensive collaboration with academic departments across Harvard programs and at the world-class Harvard affiliated hospitals.


  • Strong background in clinical trials research for an Assistant or Associate Professor position.
  • Candidates are expected to hold a doctoral degree, or a strong postdoctoral record, in statistics, biostatistics, or allied fields.
  • Participate in the Department of Biostatistics education mission.
  • Must be deeply committed to the development of quantitative methods relevant in cancer clinical trials research, to work collaboratively with investigators in the Susan Smith Center for Women’s Cancers, and to pursue independent research.

    Application Instructions:
  • Applicants should apply at, and upload a letter of application, a statement of current and future research interests, curriculum vitae, sample publications, and the names of four referees and contact info.
  • Consideration of an application will begin after the application package is complete.
  • Applications received after March 1 cannot be guaranteed consideration.

    About Dana Farber:
    Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

*Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

The Harvard T.H. Chan School of Public Health seeks to find, develop, promote, and retain the world’s best scholars. We are committed to upholding the values of diversity, equity, and inclusion in our school and the communities we serve. Women and individuals from underrepresented racial and ethnic minority groups are strongly encouraged to apply. Harvard University is 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.**

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