Research Advisor - Computational RNA Genomics

Eli Lilly and Company • San Diego, CA

1d

About The Position

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Lilly Genetic Medicine is at the forefront of developing innovative genetic therapies to treat and cure disease, combining cutting‑edge science with advanced technologies to translate genetic insights into breakthrough medicines. This Research Advisor role sits within a dynamic team applying deep sequencing and bioinformatic approaches to advance our therapeutic pipeline. The successful candidate will bridge computational genomics and RNA biology to generate insights that directly drive genetic medicine programs forward.

Requirements

• PhD in Bioinformatics, Computational Biology, Molecular Biology, Genetics, or related field

Nice To Haves

• Demonstrated expertise in mRNA processing and RNA biology
• Prior hands-on experience with transcriptome profiling and analysis of RNA-seq datasets
• Proficiency in computational analysis of deep sequencing data
• Strong programming skills in Python, R, or similar languages
• Experience with standard bioinformatics tools, pipelines, and databases for genomic analysis
• Excellent written and oral communication skills with ability to present complex data to diverse audiences
• Demonstrated ability to work collaboratively in cross-functional team environments
• Experience with diverse RNA sequencing modalities beyond standard RNA-seq (e.g., ribosome profiling, CLIP-seq, single-cell RNA-seq, SHAPE-seq, spatial transcriptomics)
• Knowledge of therapeutic RNA modalities or genetic medicine applications
• Experience with cloud computing platforms and high-performance computing environments
• Familiarity with machine learning approaches applied to genomic data
• Track record of peer-reviewed publications in high-impact journals demonstrating expertise in RNA biology and/or computational genomics
• Experience with statistical modeling and experimental design
• Knowledge of drug discovery and development processes
• Experience contributing to reusable data assets and standardized pipelines that support cross-program integration and downstream machine learning applications

Responsibilities

• Process and analyze deep sequencing datasets including RNA-seq, ribosome profiling, CLIP-seq, SHAPE-seq and other transcriptome-profiling technologies to investigate mRNA processing, stability, localization, translation, and decay
• Develop, optimize, and implement computational pipelines and workflows for analyzing complex RNA sequencing data
• Interpret analytical results within the context of RNA biology, disease mechanisms, and therapeutic applications
• Collaborate with experimental biologists, molecular biologists, and therapeutic project teams to design studies, prioritize experiments, and validate computational findings
• Present findings to cross-functional teams and contribute to scientific strategy discussions
• Contribute to peer-reviewed publications, patent applications, and scientific presentations at conferences
• Stay current with emerging technologies and methodologies in RNA biology and computational genomics

Benefits

• Lilly offers a comprehensive benefits package and competitive compensation
• Opportunities for professional development and career advancement
• Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.
• Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).
• In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for 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; and 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: Mid Level
• Education Level: Ph.D. or professional degree