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Katalyst Healthcares and Life Sciences

Katalyst Healthcares and Life Sciences is hiring: Data Analyst II in New York

Katalyst Healthcares and Life Sciences, New York, NY, US, 10261

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Job description:
  • Bioinformatics for Immunology, Genetic and Genomic Sciences (BIGGS) team under the umbrella of Quantitative Medicine and Genomics (QM&G) performs computational research and provides data-driven insights for the immunology discovery and translational programs.
  • The team is seeking a talented, creative, and motivated individual for a contractor position to perform data integration and analysis of bulk transcriptomics, single-cell omics, and available spatial transcriptomics datasets in an immunology-related disease area, with a focus on liver biology and metabolic-associated liver disease.
  • The candidate will work in close collaboration with members of BIGGS, Immunology Discovery, and Specialty Development teams to perform omics data curation, integration, and computational analysis.
  • The successful applicant will employ and develop computational tools and algorithms, integrate and analyze complex multi-omic and single-cell datasets to enable a comprehensive understanding of the disease.
  • Familiarity with the best practices and cutting-edge tools in single-cell analysis is preferable.
  • The results will drive target validation and in-depth understanding of disease biology, with a direct impact on discovery and translational programs.
Requirements:
  • Systematically QC, annotate, and integrate public omics and single-cell datasets.
  • Perform downstream analyses on the integrated datasets; employ cutting-edge tools and analytical approaches to advance the understanding of liver disease biology.
  • Contribute easily maintainable, robust, and flexible code for analysis pipelines.
  • Interpret and communicate results to the wider scientific team.
Top skills:
  • Genomic and multi-omic data analysis, including advanced analyses of single-cell RNASeq, bulk RNASeq, and preferably spatial transcriptomics.
  • Familiarity with statistical approaches in omics.
  • Fluency in Python and/or R; working in Linux environments; familiarity with workflow management (NeXT flow), version control.
  • Excellent organizational, communication, collaboration, and interpersonal skills.
  • Experience in immunology or fibrotic diseases especially MASH is a plus.
  • Educational background: Masters with 3-5, PhD 0-3 years of experience.