Scientist, Translational Informatics and Predictive Sciences

We seek a creative and passionate computational scientist to join the Cell Therapy team within Informatics and Predictive Sciences, a globally distributed group driving innovative computational research for discovery and early development. In this role, you will apply your analytical skills to analysis of a broad array of omics datasets generated from pre-clinical experiments as well as from clinical studies. You will work as part of a cross-functional team focused on cell therapy programs in the pre-clinical and translational stages of development.

Key Responsibilities

• Perform comparative analysis of quantified genomics samples including QC, structural variant analysis, differential expression and methylation analysis, insertion site analysis
• Develop and execute genomics pipelines as defined by experimental needs of Cell Therapy collaborators
• Automate and optimize preclinical experimental data collection and sharing
• Collaborate with colleagues from multiple other functions including pre-clinical, translational and clinical
• Communicate findings in multiple settings including 1:1s, working groups, seminar series and team meetings

Requirements

• Bachelor's Degree with 5+ years of academic/industry experience, or Master's Degree with 3+ years, or PhD with no experience required

Preferred Qualifications

• MS in bioinformatics, molecular biology, statistics, physics, genetics, or similar area with 7+ years of relevant experience
• Background in cell therapy
• Broad experience with analysis of long-read DNA sequencing, sequence variant calling from whole-genome sequencing, bisulfite-targeted sequencing, clinical trial gene expression data
• Familiarity with R, Positron, research compute environments, Benchling
• Excellent problem-solving and collaboration skills