Bioinformatics Analyst- Computational Genomics

The Data Analyst II will support computational research and data-driven discovery efforts within immunology and genomic sciences. This role focuses on integrating and analyzing complex genomic and multi-omic datasets to advance understanding of disease biology. The position collaborates closely with cross-functional scientific teams to deliver high-impact insights that support discovery and translational programs.

• Perform quality control, annotation, and integration of bulk transcriptomics, single-cell omics, and spatial transcriptomics datasets
• Conduct downstream statistical and computational analyses to support immunology and liver disease research
• Develop, maintain, and document robust and reusable analysis pipelines
• Apply best practices and emerging tools in single-cell and multi-omic data analysis
• Interpret results and clearly communicate findings to scientific and cross-functional teams

• Master’s degree with relevant experience in data analysis or a Doctoral degree with early-career experience in a related field
• Hands-on experience with genomic and multi-omic data analysis, including single-cell and bulk RNA sequencing
• Proficiency in Python and or R within Linux-based environments
• Experience with workflow management tools and version control systems
• Strong organizational, communication, and collaboration skills

• Experience with spatial transcriptomics data analysis
• Background in immunology or fibrotic diseases
• Familiarity with liver biology or metabolic-associated liver disease research

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 off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.