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 may include performing T cell stimulation, antibody staining, cell sorting, preparing bulk and single-cell sequencing libraries, analyzing and integrating 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.
The successful applicant will have an opportunity to contribute to publication-driven projects aimed at understanding immune dysregulation in autoimmune diseases and identifying novel biomarkers for type 1 diabetes (T1D). This position offers significant independence, leadership opportunities on high-impact projects, mentorship of junior lab members, and active involvement in cutting-edge translational immunology research. The role includes strong support for authorship and professional development to foster research independence within a highly collaborative and intellectually stimulating environment.
Qualifications
Application Instructions
To apply, visit https://apply.interfolio.com/170067
