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Advisor - Genomic Sciences, RNA Therapeutics

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Initial Therapeutics, Inc.
Full Time position
Listed on 2026-07-03
Job specializations:
  • Research/Development
    Biotech Research, Research Scientist
Salary/Wage Range or Industry Benchmark: 138000 - 224400 USD Yearly USD 138000.00 224400.00 YEAR
Job Description & How to Apply Below

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Position Overview

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.

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