Postdoctoral Associate -- Computational Immunology

Yale School of Medicine
Program in Computational Biology and Bioinformatics (CBB), Pathology and Immunobiology
United States CT New Haven
medicine.yale.edu/lab/kleinstein/

Description

The Kleinstein Lab (Program in Computational Biology and Bioinformatics, Departments of Pathology and Immunobiology, Yale School of Medicine) 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, with a specific focus on high-throughput B cell receptor (BCR) and T cell receptor (TCR) repertoire analysis (including bulk and single cell RNA-seq + BCR). For interested candidates, there are opportunities for computational methods development.

The Kleinstein lab (medicine.yale.edu/lab/kleinstein) 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 (medicine.yale.edu/lab/kleinstein/software). We currently make available the Immcantation tool suite (immcantation.org), a start-to-finish analytical ecosystem for high-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) datasets.


Qualifications

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 together with the names and addresses of three references to: steven.kleinstein@yale.edu


Contact

Steven Kleinstein
steven.kleinstein@yale.edu