Post-doctoral Position in Biomedical Data Science at Yale

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. 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. 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.

PhD Studentships in Bioinformatics at Yale 

Students interested in bioinformatics should apply via the CBB track in the BBS program or via the Yale CS program, being sure to indicate interest in this lab to enable proper routing of the application. More information through CBB Home Page and BBS Program. (Some general information for new graduate students.)

Undergraduate & Masters Research positions (including summer jobs)

We generally have opportunities in Biomedical Data Science & Computational Biology including research in genome annotation, macromolecular structure simulation, disease genomics (particularly neurogenomics and cancer genomics), biomedical privacy, image processing, biomedical sensor analysis, and AI and deep learning methods development. Click here for a list of positions available. Here’s some general information for interested individuals (undergrads, masters, and MD students).