Data Analyst II

Job Summary 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. 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 Required Skills • 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: A Master's degree with 3-5 years of experience or a 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. skills: Quality control, R Language 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. At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. 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 the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. u00006475229