Bioinformatician II- Immunology and Immunotherapy

About the role

The Laboratory of Tissue Immunity and Regeneration at the Icahn School of Medicine at Mount Sinai is seeking a highly qualified and motivated Bioinformatician II to support computational and analytical research efforts across a diverse portfolio of sequencing- and omics-based studies.

Responsibilities

• Conduct end-to-end computational analyses for bulk RNA-seq, bulk ATAC-seq, single-cell RNA-seq, single-cell Multiome, and Spatial Transcriptomics/Visium HD datasets.
• Process, quality control, analyze, visualize, and interpret high-dimensional sequencing and omics datasets.
• Develop, optimize, maintain, and document reproducible computational pipelines and workflows to support scalable analysis across multiple research projects.
• Partner closely with laboratory scientists and collaborators to translate biological questions into rigorous computational strategies and analytical plans.
• Generate high-quality figures, summaries, and data outputs for internal research meetings, grant applications, manuscripts, and scientific presentations.
• Manage computational analyses in a high-performance computing environment and ensure effective organization of data and analytical workflows.
• Support ongoing and new research initiatives through timely, accurate, and scientifically rigorous analysis.
• Contribute to manuscript preparation and other scholarly outputs arising from the laboratory’s research program.

Qualifications

• M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred.
• 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets.
• Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++.

Preferred Skills

• Prior experience analyzing bulk RNA-seq, bulk ATAC-seq, scRNA-seq, single-cell Multiome, and Spatial Transcriptomics/Visium HD data.
• Familiarity with single-cell analysis frameworks and data structures, including Seurat and AnnData.
• Experience developing and maintaining bioinformatics pipelines for sequencing-based workflows.
• Demonstrated ability to independently perform analyses from raw data processing through downstream interpretation.
• Experience working in a highly collaborative laboratory or translational research environment.
• Strong written and verbal scientific communication skills, including experience preparing publication-quality figures and analyses.
• Interest in inflammatory disease biology, tissue immunology, regeneration, and translational team science.