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Bioinformatics Data Analyst II

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: US Tech Solutions
Full Time position
Listed on 2026-02-21
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Employer Industry: Biotechnology and Genomics

Why consider this job opportunity:
  • Opportunity for contract work in a cutting-edge field focused on immunology and genomic sciences
  • Collaborate with a talented team dedicated to advancing scientific research and discovery
  • Chance to develop and apply computational tools and algorithms that directly impact disease understanding
  • Work on innovative projects involving single-cell and multi-omic data analysis
  • Engage in a supportive and dynamic work environment that fosters creativity and collaboration
What to Expect (Job Responsibilities):
  • Perform data integration and analysis of bulk transcriptomics and single-cell datasets related to liver biology and metabolic-associated liver disease
  • Systematically QC, annotate, and integrate public omics and single-cell datasets
  • Conduct downstream analyses using advanced analytical approaches to enhance understanding of liver disease biology
  • Develop and maintain robust and flexible code for analysis pipelines
  • Communicate results effectively to the wider scientific team
What is Required (Qualifications):
  • Minimum educational requirement:
    Master's degree with 3-5 years of experience or PhD with 0-3 years of experience
  • Proficiency in genomic and multi-omic data analysis, including single-cell RNASeq and bulk RNASeq
  • Fluency in Python and/or R, experience in Linux environments, and familiarity with workflow management (Nextflow) and version control
  • Excellent organizational, communication, collaboration, and interpersonal skills
  • Experience in immunology or fibrotic diseases, especially metabolic-associated liver disease, is a plus
How to Stand Out (Preferred Qualifications):
  • Familiarity with best practices and cutting-edge tools in single-cell analysis
  • Experience in computational research related to immunology and genomic sciences

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We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

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