Bioinformatics Specialist I - Brown Lab
About The Position
The Brown Laboratory studies how the tissue microenvironment and microbiota shape immune development using state-of-the-art single-cell genomics and computational approaches to dissect immune cell heterogeneity and differentiation. Recent work from the lab defined the cell types and mechanisms that instruct peripheral regulatory T cell development and tolerance to the gut microbiota (https://www.nature.com/articles/s41586-022-05309-5) and identified their ontogeny and developmental trajectories (https://www.nature.com/articles/s41586-026-10198-z). The lab’s work transitions between mechanistic studies in experimental models and translational human immunology studies, with clinical collaborations at Memorial Sloan Kettering Cancer Center (MSK) and the Hospital for Special Surgery. The Brown Lab is located in the state-of-the-art Zuckerman Research Center in the heart of the Upper East Side in New York City. The ZRC is embedded within the Tri-Institutional Campus, encompassing Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, and Rockefeller University. This environment offers a highly collaborative and intellectually vibrant scientific community with frequent opportunities for networking and career development. The Brown Laboratory is seeking a highly motivated and detail-oriented Bioinformatics Specialist to support computational analysis of large-scale biological datasets. This role will focus on the analysis of single-cell genomic and spatial transcriptomic datasets to advance the lab’s research on immune cell development and function. The successful candidate will work closely with a collaborative team of scientists and trainees, helping to design and implement computational workflows that support both fundamental and translational immunology research.
Requirements
- Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, or a related quantitative field
- Strong programming skills in Python and R
- Experience analyzing genomic or transcriptomic datasets
- Experience with commonly used bioinformatics tools and databases
- Strong analytical and problem-solving abilities
- Excellent communication and collaboration skills
- Ability to work effectively within an interdisciplinary research team
Responsibilities
- Work collaboratively with research scientists to design and implement computational workflows for analyzing large-scale biological datasets
- Perform quality control on raw experimental data and preprocess data for downstream analyses
- Analyze and interpret high-throughput sequencing data using bioinformatics tools and software, including: single-cell RNA-seq scATAC-seq CUT&Tag spatial transcriptomics platforms such as 10X Xenium and Visium HD
- Apply statistical methods and machine learning approaches to identify patterns and relationships in complex biological datasets
- Summarize and communicate analytical findings clearly to research team members
Benefits
- A competitive compensation package with comprehensive health and welfare benefits
- The opportunity to join the vibrant Tri-Institutional scientific community spanning MSK, Weill Cornell, and Rockefeller University
- Exposure to cutting-edge immunology and genomic research
- Opportunities for mentorship, career development, and professional growth
- Opportunities to contribute to publications and present work at conference
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
