Bioinformatics Specialist - Brown Lab

Primary Work Address: 1275 York Avenue, New York, NY, 10021

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 () and identified their ontogeny and developmental trajectories (). 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.

Dr. Chrysothemis Brown is an Assistant Member at MSK, Assistant Professor at the Weill Cornell Graduate School of Medical Sciences, and HHMI Freeman Hrabowski Scholar. She is the recipient of the NIH/NIAID DP2 New Innovator Award, the Josie Robertson Investigator Award, and the V Foundation Pediatric Scholar Award.

For more information about the lab, please visit:

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.

Please include the following when applying:

• Cover letter indicating current and future research interests
• CV (including list of publications and technical skills)
• Names and contact information for at least two references

• 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

• 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

• 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

Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard;…