Sr Scientist/Principal Scientist - Genomics Sciences

About the role

The Genomic Sciences team within Lilly Genetic Medicine/RNA Therapeutics is seeking a senior experimental genomics expert to lead and execute genomics assays in support of the discovery and development of RNA medicines.

Responsibilities

• Execute and optimize NGS library preparation workflows (e.g., 3’ RNA-seq, mRNA-seq, etc.) across targeted and large-scale screening campaigns, maintaining high quality and throughput
• Track, document, and QC samples through all stages of assay development
• Develop, troubleshoot, and refine genomics assay protocols to meet evolving program needs, including new library chemistries, multiplexing strategies, and sample input optimization
• Maintain impeccable sample tracking, chain-of-custody documentation, and electronic lab notebook records in compliance with Lilly quality standards
• Collaborate closely with computational genomics, medicinal chemistry, and biology colleagues to ensure experimental designs generate robust, interpretable, and decisional data
• Participate actively in cross-functional project teams, contributing scientific perspective on assay design, data interpretation, and experimental prioritization
• Support lab infrastructure including reagent inventory, equipment maintenance, and continuous improvement of standard operating procedures

Qualifications

• Basic Qualifications: Bachelor’s degree in genomics, molecular biology, biochemistry, genetics, or a related discipline with a minimum of 3+ years of relevant laboratory experience; OR Master’s degree in genomics, molecular biology, biochemistry, genetics, or a related discipline with a minimum of 1+ years of relevant laboratory experience
• Preferred Qualifications: Demonstrated hands-on experience with NGS library preparation, quality control (Qubit, TapeStation/Bioanalyzer, qPCR-based quantification), and sequencer operation; Strong organizational skills with meticulous attention to sample management, documentation, and experimental reproducibility; Ability to work effectively in a fast-paced, team-oriented research environment generating high-quality decisional data at scale; Experience with high-throughput or pooled screening workflows in a pharmaceutical or genomics core environment; Experience with single cell genomics or spatial transcriptomics data; Familiarity with RNA therapeutics biology (siRNA, ASO) and associated transcriptomic readouts; Bioinformatics experience including comfort with command-line tools, scripting (R, Python), and/or analysis of NGS data (alignment, QC metrics, differential expression); Experience with automation platforms (e.g., Hamilton, Beckman) for library preparation or sample handling; Track record of method development or assay optimization in a research or development setting; Experience using and developing ELN based documentation tools.