We're looking for talented and motivated students, postdocs, and staff members to join our team in our quest to understand the human genome and the molecular basis of human disease. You'll get to work in a highly collaborative environment at the interface of computer science and biology.
We're looking for both computational and experimental applicants:
Regardless of your specific background and project, you will end up being exposed to a broad range of computational and experimental aspects of computational biology, in a highly interdisciplinary team, and you'll have the opportunity to participate in all aspects of experiment design, assay development, sample coordination, method development, software implementation, data analysis, and experimental validation.
Postdocs and research scientists: (1) Please fill out the application form. (2) Email email@example.com and firstname.lastname@example.org a current CV with research background and publications list and a 1-2 page research statement with the specific areas you want to work on, how they fit with our group, and how they build upon your previous work. (3) Ask for 3 recommendation letters from your previous research supervisors and collaborators to be sent directly to email@example.com. (4) If you don't hear back within a day or two, please re-send your email, and call Manolis at 617-253-2419.
Ph.D. applicants: If you are interested in applying to MIT, please consider the Computer Science (EECS) and Computational and Systems Biology (CSBi) and Biological Engineering and Health Science and Technology graduate programs. Admitted graduate students are invited for on-campus visits to MIT, which is a great opportunity to meet with faculty members. You can indicate your interest in working with Prof. Kellis in your application, but admissions are done centrally, and not with a specific professor. Those contacts are established during visit weekend.
MIT graduate students: If you are already admitted to MIT, you should contact Manolis Kellis directly and set up a meeting to talk research. Reach out to firstname.lastname@example.org if you don't hear back immediately, ring me at 617-253-2419, or just stop by (32D-524). If you do not have prior experience in computational biology, please take 6.047/6.878 "Computational Biology: Genomes, Networks, Evolution". A strong background in algorithms or machine learning is a big plus, and some background in biology is encouraged though not required.
Undergraduate students: To be most productive in the group, we recommend that you first take 6.047/6.878 "Computational Biology: Genomes, Networks, Evolution", as it will give you the breadth needed for selecting a project, and hands-on experience in a final project that can evolve into a UROP project during the Spring term or Summer. We also encourage our UROP students to continue their research experience through a UAP or MEng project.
Lastly, we're also looking for a project manager to help coordinate lab activities, including large-scale data production, technology development, next-generation sequencing, and coordination between our computational and experimental teams. Please direct your CV to email@example.com
Please fill out the application form below and email your cv and research statement to manoli at mit dot edu