Research Associate in Human Immunology - Laura Su's lab

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 60,000 - 80,000; Full time

Job summary

A leading academic institution in Philadelphia seeks a Research Associate in Human Immunology. The ideal candidate will have a Ph.D. and expertise in T cell biology, tissue culture, and bioinformatics. Key responsibilities include T cell stimulation and analyzing multi-omic datasets. Strong communication and problem-solving skills are essential for this role. Apply today to join a dynamic research team focused on advanced immunologic techniques.

Qualifications

• Ph.D. degree is required.
• Proficiency in advanced statistical and computational methods.
• Solid understanding of adaptive immunity.

Responsibilities

• Perform T cell stimulation, antibody staining, and cell sorting.
• Analyze RNA-seq, ATAC-seq, and multi-omic datasets.
• Familiarity with spatial transcriptomics is a plus.

Skills

Expertise in T cell biology

Bioinformatics

Independent working ability

Strong problem-solving skills

Effective communication

Organizational abilities

Education

Ph.D. degree

Tools

R

Python

Flow cytometry techniques

Statistical modeling

Job description

Overview

Research Associate in Human Immunology - Laura Su's lab

Location: Philadelphia, PA

Open Date: Jul 09, 2025

Deadline: Jul 09, 2027 at 11:59 PM Eastern Time

The Division of Rheumatology in the Department of Medicine at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for a Research Associate position in the Academic Support Staff. This appointment will be initially for one (1) year and continuation during that time period and renewal are based on satisfactory performance and availability of funding (limited to three (3) years). Expertise is required in the specific area of T cell biology and bioinformatics. The ideal candidate will bring deep expertise in tissue culture and flow cytometry, and a broad range of immunologic techniques. A proven track record in analyzing bulk and single-cell RNA-seq, TCR-seq, and BCR-seq data is essential. Candidates must be proficient in advanced statistical and computational methods and have a solid understanding of adaptive immunity. We are looking for a highly self-motivated individual with strong problem-solving skills, effective communication, and excellent organizational abilities. The candidate must be able to work independently and collaboratively. Applicants must have a Ph.D. degree.

Responsibilities

• Perform T cell stimulation, antibody staining, cell sorting, and preparing bulk and single-cell sequencing libraries.
• Analyze and integrate RNA-seq, ATAC-seq, TCR-seq, and BCR-seq multi-omic datasets using R or Python. Experience with advanced statistical modeling is expected.
• Familiarity with spatial transcriptomics is a plus.

Qualifications

• Ph.D. degree is required.
• Expertise in T cell biology and bioinformatics.
• Deep expertise in tissue culture and flow cytometry, and a broad range of immunologic techniques.
• Proven track record in analyzing bulk and single-cell RNA-seq, TCR-seq, and BCR-seq data.
• Proficiency in advanced statistical and computational methods; solid understanding of adaptive immunity.
• Ability to work independently and collaboratively, with strong problem-solving, communication, and organizational skills.

Application Instructions

To apply, visit https://apply.interfolio.com/170067

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.