Massachusetts Institute of Technology (MIT)
The Department of Biology together with the MIT Schwarzman College of Computing (SCC) at the Massachusetts Institute of Technology (Cambridge, Massachusetts) invites applications for a position in the area of computational or machine-learning approaches to biology at the level of a tenure-track Assistant Professor, beginning July 1, 2024 or as soon thereafter as possible.
We are interested in candidates who are developing and using computational methods to address questions in molecular, cellular, or organismal biology. We especially welcome applicants focusing on fundamental biological mechanisms who are applying innovative computational or machine-learning approaches in discovery research. An M.D. or Ph.D. in Biology, Computational Biology, or a related discipline is required by the start of employment.
The successful candidate will have a shared appointment in the Department of Biology and the SCC, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS). Tenure-track faculty are expected to develop and lead a vibrant, independent research program, play an active role in shaping the academic work and culture of both the Biology and the SCC research communities, and share our commitment to undergraduate and graduate education. Duties include teaching both Biology and SCC-relevant courses in computational and machine-learning approaches to biology and related subjects, supervising graduate and undergraduate research, and mentoring trainees at all levels. Together with the SCC, MIT Biology is committed to fostering an equitable and inclusive environment that emphasizes mentoring and is mindful of diverse backgrounds. The successful candidate will be provided with lab and office space, a generous start-up package, and access to state-of-the-art core facilities.
Applicants should submit a cover letter, curriculum vitae, summary of current and proposed research (≤5 pgs), statement on teaching philosophy (~1 pg), and a statement on mentoring, diversity, and outreach (~2 pgs) that describes the candidate’s experience in these areas and/or how they envision contributing to Biology and the SCC’s ongoing efforts. Letters of recommendation should be sent separately from at least three individuals able to evaluate the candidate’s accomplishments and future potential. Application materials should be submitted to https://academicjobsonline.org/ajo/jobs/26221.
Completed applications will begin to be considered on November 15, 2023.
Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
MIT is an equal employment opportunity employer. We value diversity and strongly encourage applications from individuals from all identities and backgrounds. All qualified applicants will receive equitable consideration for employment based on their experience and qualifications, and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, pregnancy, religion, disability, age, genetic information, veteran status, or national or ethnic origin. See MIT’s full policy on nondiscrimination.