Pay Range: $40 - $45/hour

Position Details:

Client: Pharmaceutical

Position Title: Data Analyst II

Duration: 12 months (Possible extension)

Location: Remote

What are the top 3-5 skills, experience or education requited for this position:

• 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 (Nextflow), 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.
   

• 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.
   

• 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.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)