Assistant/Associate Professor Department of Data Science at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health

Harvard University, United States

Updated: over 2 years ago
Location: Cambridge, MASSACHUSETTS
Deadline: ;

Title Assistant/Associate Professor Department of Data Science at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health
School Harvard T.H. Chan School of Public Health
Department/Area Biostatistics
Position Description
The Department of Data Science at the Dana-Farber Cancer Institute (DFCI) and the  Department of Biostatistics at the Harvard T.H. Chan School of Public Health (HSPH) seek candidates with a strong background in statistics or machine learning for a tenure-track assistant or associate professor position. The successful candidate will have a unique opportunity to collaborate both with basic scientists and biomedical researchers at DFCI who are developing cutting edge measurement approaches based on imaging technology, as well as with faculty at HSPH and across Harvard advancing statistical and/or machine learning methods. 
The faculty member will be based in the Department of Data Science at DFCI with an academic appointment in the Department of Biostatistics at HSPH. They will participate in the teaching mission of the Department of Biostatistics and will have the opportunity to recruit students and postdocs through a variety of channels, including the Graduate School of Arts and Sciences at Harvard and several training grants. Resources will be provided for building an active team of research scientists, postdoctoral fellows, and graduate students, and candidates should be committed to fostering principles of diversity, inclusion, and belonging across their teams and throughout their research and education activities. The School believes diversity of cultural backgrounds, identities, lived experiences, perspectives, and ways of understanding the world enriches our community and enables us to best achieve our public health mission.
The Departments of Biostatistics at the Harvard T.H. Chan School of Public Health and Data  Science at the Dana-Farber Cancer Institute offer exceptional environments in which to pursue  research and education in quantitative methods while being at the forefront of efforts to benefit  the health of individuals or populations worldwide. The departments work closely together and  many faculty members have joint appointments. Our faculty are experts in a wide ranging variety of areas in statistics and computational biology and our applied research is enabled through collaboration with researchers in public health and medicine. For candidates with interests in tumor cell imaging in situ and tumor microenvironments, there are ample opportunities to collaborate with pathologists at Harvard affiliate hospitals and access state-of-the-art multiplexed imaging platforms. 
Basic Qualifications
Candidates are expected to hold a doctoral degree or equivalent, with strong training in statistics, machine learning, or related areas.
Applicants should submit a letter of application, including a statement of current and future research interests, curriculum vitae, at least 2 sample publications or preprints, and the names of four referees. Applications received after February 1, 2022 cannot be guaranteed consideration.  
Additional Qualifications
Special Instructions
DIVERSITY VALUES
 
At the Harvard T.H. Chan School of Public Health, we believe diversity is integral to the Harvard experience and our mission of improving public health education, research and policy. Diversity of cultural backgrounds, identities, lived experiences, perspectives, and ways of understanding the world enriches our community and enables us to best meet the public health needs of the United States and the world.
 
Ongoing learning and development related to diversity allows for both individual and institutional growth and is necessary to foster and sustain a culture of inclusion. To achieve this, we are committed to ensuring equitable access to opportunities for learning, living, and working at Harvard T.H. Chan.
 
We maintain an unwavering dedication to diversity, inclusion, and belonging as core to our institutional values and to actively address racism, sexism, xenophobia, homophobia, gender bias, and all forms of discrimination.
Contact Information
Erica Feick, Search Administrator 
Department of Data Sciences 
Dana-Farber Cancer Institute 
Email: [email protected] 
Contact Email [email protected]
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.
Minimum Number of References Required 4
Maximum Number of References Allowed 6
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