Computational postdoc in immunology & evolution at the University of Chicago


A shared postdoctoral position is available in the research groups of Patrick Wilson and Sarah Cobey at the University of Chicago. This is a full-time position for a duration of at least two years with a flexible start date. The broad aim of the research is to use computational approaches to investigate the evolution and diversity of B cell and antibody repertoires. The specific topic is flexible and will be developed jointly by the postdoctoral researcher and the PIs.

The position involves close interaction with experimental and computational groups. The B cell immunology lab of Patrick Wilson is pursuing studies on the gene expression profiles of heterogeneous B cell subsets, including exciting and novel single-cell transcriptome studies. Research in the Cobey lab uses simulation and inference to understand the evolutionary dynamics of the adaptive immune response and influenza. The collaborative research will make use of sequence and transcriptional data and require some software maintenance and development.

The successful applicant will have demonstrated ability to perform high-quality scientific research, expertise in developing and maintaining code, and interest in B cell dynamics, evolution, and inference. A PhD in statistics, computer science, evolutionary biology, bioinformatics, physics, applied math, or a related field must be completed before starting. A history of relevant publications in internationally recognized journals is expected.

Applicants should submit an application package that includes a cover letter, CV, relevant prior publications, code samples, and contact information for three references to and

Application review will begin immediately and continue until the position is filled.