Advisor - Genomic Sciences, RNA Therapeutics

Lilly • Boston, MA

3d • $138,000 - $224,400 • Onsite

About The Position

We are seeking an experienced scientist to join the Genomic Sciences team in Lilly Genetic Medicine’s RNA Therapeutics organization. This team leverages high-throughput approaches to generate data that drives compound selection and lead optimization decisions and enables innovative cross-functional science both within RNA therapeutics and across therapeutic areas. The successful candidate will join a team of genomics experts who independently identify key scientific questions, design and execute functional genomics experiments to answer them, and integrate results across data modalities to advance compound programs from screening through preclinical development. This role requires close partnership with medicinal chemistry, in vitro pharmacology, in vivo pharmacology, computational genomics, lab automation, and therapeutic area teams—and a scientist who can translate experimental findings into clear recommendations that shape portfolio-facing program decisions.

Requirements

• Ph.D. in genomics, molecular biology, genetics, or a related discipline with a minimum of 2 years of postdoctoral and/or industry experience

Nice To Haves

• Demonstrated track record of independently designing, executing, and interpreting NGS-based functional genomics experiments
• Experience working on collaborative, cross-functional teams in a pharmaceutical, biotech, or large-scale research environment
• Strong scientific communication skills with the ability to translate complex genomic data into actionable recommendations for non-specialist stakeholders
• Exceptional demonstrated ability to collaborate with scientists and business leaders with diverse scientific backgrounds
• Experience with high-throughput transcriptomic screening workflows in a drug discovery context (e.g., compound profiling, dose-response characterization, off-target assessment)
• Familiarity with RNA therapeutics biology, including siRNA seed-mediated off-target effects and/or antisense oligonucleotide pharmacology
• Hands-on experience with spatial transcriptomics (e.g., Xenium, CosMx, MERFISH) and/or single-cell genomics (e.g., 10x Chromium) applied to mechanistic questions in drug development
• Genomics data analysis skills including differential expression analysis frameworks and visualization of high-dimensional data
• Experience with laboratory automation platforms for NGS library preparation or sample handling at scale
• Publication record demonstrating scientific contributions in genomics or functional genomics

Responsibilities

• Design and execute NGS-based genomics experiments (e.g., 3’ RNA-seq, mRNA-seq, targeted panels, scRNA-seq, spatial transcriptomics, etc.) to support siRNA and ASO compound profiling, selectivity assessment, biodistribution studies, and mechanism-of-action characterization
• Independently identify scientific questions and develop experimental strategies that advance portfolio programs, applying an end-to-end understanding from assay design through data interpretation
• Establish and optimize functional genomics workflows at screening scale, including library preparation, multiplexing, QC, and sequencing across NGS platforms
• Integrate cross-functional and external information—transcriptomic, pharmacologic, structural—to support data-driven decision-making on compound progression and lead selection
• Collaborate with computational genomics colleagues on analysis design, ensuring experimental parameters (replication, power, controls) support robust statistical inference
• Leverage laboratory automation systems (e.g., Hamilton, Beckman) to increase throughput and reproducibility of genomics workflows
• Troubleshoot assay performance, diagnose failure modes, and implement corrective actions with minimal supervision
• Present scientific findings and recommendations to project teams, governance bodies, and external collaborators; contribute to publications, patents, and conference presentations
• Mentor junior scientists on experimental design, technical execution, and scientific rigor

Benefits

• company bonus (depending, in part, on company and individual performance)
• company-sponsored 401(k)
• pension
• vacation benefits
• medical, dental, vision and prescription drug benefits
• flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
• life insurance and death benefits
• certain time off and leave of absence benefits
• well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree