Randstad Life Sciences US is hiring: Data Analyst II in North Chicago

Overview

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 immunology discovery and translational programs. The team is seeking a contractor 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 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.

Location: Telecommute

Job Type: Contract

Salary: $40.00 - $47.85 per hour

Work hours: 9 to 5

Education: Masters

Responsibilities

• Systematically QC, annotate, and integrate public omics and single-cell datasets.
• Perform downstream analyses on the integrated datasets, using 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.
• Collaborate closely with members of the BIGGS, Immunology Discovery, and Specialty Development teams.

Qualifications

• Genomic and multi-omic data analysis, including advanced analyses of single-cell RNASeq, bulk RNASeq, and preferably spatial transcriptomics.
• Fluency in Python and/or R.
• Working in Linux environments.
• Experience with statistical approaches in omics.
• Familiarity with workflow management (Nextflow) and version control.
• Excellent organizational, communication, collaboration, and interpersonal skills.
• Educational background: Master\'s degree with 3-5 years of experience or PhD with 0-3 years of experience.

Preferred Skills

• Experience in immunology or fibrotic diseases, especially MASH (Metabolic Dysfunction-Associated Steatohepatitis).
• Familiarity with the best practices and cutting-edge tools in single-cell analysis.

Additional Information

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including education, work experience, work location, specific job duties, certifications, etc. Randstad offers a comprehensive benefits package where eligible. This posting is open for thirty (30) days.