Post-doctoral Position in Biomedical Data Science at Yale

Key Skills

C Programming, C++, MATLAB Programming, Python Programming, R Programming

Job Description

Gerstein Lab

Applicants are invited for a post-doctoral position at Yale University. The position is for 2 years with possible extensions. The choice of project would to some degree depend on the applicant’s interests and abilities, though it is expected that the research will be purely computational and will fall into sub-areas in computational biology and biomedical data science, such as analysis of biological networks, personal & disease genomics, deep learning, privacy, wearable data analysis, and macromolecular simulation & imaging (via cryo-EM). For specifics, see lab research areas (https://sites.gersteinlab.org/research/). A step-by-step guide to learning about the lab for prospective postdocs is available.

The ideal applicant would have a PhD in computational biology and have already had some experience in one of the above-mentioned research areas. However, a non-biological background with strong training in another quantitative scientific field (e.g., theoretical chemistry or CS) would also be appropriate. He or she would be very skilled in programming and using the computer to solve practical problems (e.g. experience with C/C++, R/matlab, python and so on).

Contact information is available here (http://info.gersteinlab.org/Lab_Address). Applicants are requested to send a CV that includes a list of publications and details of 3 references. Normal e-mail is OK for all correspondence.