The Department of Data Sciences at the Dana-Farber Cancer Institute (DFCI) and the Department of Biomedical Informatics at Harvard Medical School seek an outstanding candidate for an Assistant or Associate Professor position.
The new faculty member is expected to be or become a leader in quantitative methods relevant to imaging in cancer research applications. The faculty member will have the unique opportunity to collaborate with basic scientists and biomedical research developing cutting edge measurement approaches based on imaging technology and working with faculty at DBMI and across Harvard in developing and field-testing novel methods. We also expect the faculty member to build a team of research scientists, postdoctoral fellows, and graduate students to help in these collaborations as well as develop quantitative tools that can be widely applicable.
The faculty member’s home will be in the Department of Data Sciences at DFCI with an academic appointment in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS). The faculty will participate in scientific events of DFCI, Harvard, and other Boston area research communities and train graduate students in a highly interactive, supportive, collaborative and dynamic research environment. The new faculty is also expected to participate in Harvard School of Medicine’s teaching mission including teaching in DBMI courses.
Applicants should send a letter of application, including a statement of current and future research interests, curriculum vitae, sample publications, and the names of four referees to the email address below. Applicants should ask their four referees to write independently to this address. Consideration of an application will begin after the application package is complete. Applications received after January 15 cannot be guaranteed consideration.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy and pregnancy-related conditions, disability status, protected veteran status, or any other characteristic protected by law. Women and minority candidates are particularly encouraged to apply.