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Yale University

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Postdoctoral Associate / Associate Research Scientist in Computational Immunology and AIRR-seq Yale University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Salary will be determined according to the Yale School of Medicine faculty salary scale or Yale University postdoctoral salary scale, depending on appointment type, and will be commensurate with experience, qualifications, and institutional guidelines.

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Country

United States

University

Yale University

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Keywords

Computer Science
Biomedical Engineering
Biology
Single-cell Analysis
Medical Science
Open-source Software
Statistics
Statistical Modelling
Bioinformatic
ML

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About this position

Yale School of Medicine is advertising an opening in computational immunology for either a Postdoctoral Associate or Associate Research Scientist (research-rank faculty), depending on experience.

The position is based in the Kleinstein and Yaari labs and focuses on developing computational and statistical methods for multiomic immune profiling, with an emphasis on adaptive immune receptor repertoire sequencing (AIRR-seq).

Research topics include integrating AIRR-seq with single-cell RNA-seq, paired BCR/TCR data, genomics, immune phenotyping, germline variation, and clinical or experimental metadata. Potential projects include genotype-aware repertoire analysis, modeling clonal expansion and public/private receptor sharing, scalable software development, and applications to vaccination, infection, autoimmunity, and population-scale immune variation.

The project is jointly mentored by Steven Kleinstein and Gur Yaari, in a collaborative environment focused on rigorous, interpretable methods and open-source software for immune repertoire analysis.

Applicants should have strong quantitative and programming skills. Experience with AIRR-seq, BCR/TCR repertoire analysis, single-cell genomics, multiomic integration, statistical modeling, or machine learning is desirable but not required. Candidates from computational biology, bioinformatics, computer science, statistics, applied mathematics, physics, bioengineering, immunology, or related fields are encouraged to apply.

Funding is provided through Yale salary scales, with compensation commensurate with experience and qualifications. Applications are submitted via Interfolio and should include a CV, a brief statement of research interests, and reference contact information.

No deadline is stated in the post.

Funding details

Salary will be determined according to the Yale School of Medicine faculty salary scale or Yale University postdoctoral salary scale, depending on appointment type, and will be commensurate with experience, qualifications, and institutional guidelines.

What's required

Applicants should have strong quantitative and programming skills. Experience with AIRR-seq, BCR/TCR repertoire analysis, single-cell genomics, multiomic integration, statistical modeling, or machine learning is desirable but not required. Candidates from computational biology, bioinformatics, computer science, statistics, applied mathematics, physics, bioengineering, immunology, or related fields are encouraged to apply.

How to apply

Upload all application materials through Interfolio. Submit a CV, a brief statement of research interests, and contact information for references. Direct specific inquiries to Steven Kleinstein or Gur Yaari by email.

More information can be found here

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