Data Scientist

• Provide scientific leadership and strategic vision in human genetics, proteomics, population data science, and clinical informatics to position Lilly at the forefront of genetics for diabetes, obesity, and complications
• Lead and mentor a team with diverse computational background
• Develop and implement strategies to optimally use public large-scale genetic/genomic resources (population-scale biobanks, genome sequencing initiatives) and integrate with patient-derived data from clinical trials to provide novel insights for Lilly’s portfolio
• Lead efforts to analyze whole genome sequencing and proteomics data from clinical trial participants
• Align with DOCTA’s strategic priorities and drive data-driven innovative approaches to identify and validate novel therapeutic targets
• Spearhead cross-functional initiatives to translate genetic/genomic findings into actionable insights that inform drug discovery, biomarker development, and clinical trial design
• Represent Lilly at scientific conferences and engage with the broader genetics/genomics community to stay at the forefront of innovation
• Partner with internal teams to evaluate external innovation opportunities and bring insights to aid decision making
• Interpret and clearly communicate results from genetic analyses, including development of scientific manuscripts, posters, and presentations; communicate the group’s vision and progress to internal and external partners
• Implement industry-standard procedures for scientific project execution and documentation (e.g., JIRA, Confluence, Git, code review, and other documentation tools)
• Accountable for the team’s development and documentation of reproducible pipelines for genetics analyses
• Perform hands-on execution of human genetic analyses as needed
• Foster a culture of scientific excellence, collaboration, and continuous learning within the human genetics and bioinformatics group and across the organization

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