Postdoctoral Associate -- Computational Immunology

Yale School of Medicine
United States CT New Haven


The Kleinstein Lab (Yale School of Medicine, Department of Pathology) is seeking a highly motivated postdoctoral associate in computational immunology. The successful candidates will work in a highly collaborative environment on systems-level human immune profiling studies. For interested candidates, there are opportunities for computational methods development related to high-throughput BCR repertoire analysis (including single cell RNA-seq + BCR) and multi-omics data integration.

Several ongoing projects involve profiling the immune response in COVID-19, including a large cohort of ~1000 hospitalized patients as part of the NIH IMPACC network ( Other biological areas of focus include Influenza vaccination, Lyme disease and West Nile Virus infection as part of the NIH HIPC (, as well as autoimmune disease. Major data types include transcriptional profiling (single-cell and bulk), along with B cell receptor and T cell receptor repertoire (single-cell and bulk).

The Kleinstein lab ( pairs big data analyses with immunological expertise to better understand how the dynamic processes of the immune system affect the course of infection, vaccination and autoimmunity. The lab has developed many widely used analysis methods for high-throughput immune profiling data, particularly transcriptomic and B cell receptor repertoire sequencing data ( We currently make available the Immcantation tool suite (, a start-to-finish analytical ecosystem for high-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) datasets.


The ideal candidate will have strong quantitative and programming abilities (ideally R and Python), along with an interest in applying these skills to problems in immunology. A Ph.D. in a quantitative discipline is desired (Bioinformatics, Computer Science, Statistics, Physics, Applied Mathematics, etc.).

Yale University is an affirmative Acton/Equal Opportunity Employer and welcomes applications from women, persons with disabilities, protected veterans and member of minority groups.

Start date

As soon as possible

How to Apply

Interested candidates should forward a CV and short description of research interests together with the names and addresses of three references.


Steven Kleinstein