Senior Scientist, siRNA Design and Off-Target Analysis

AbbVie

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Worcester, MA
Salary
$109,500–$208,500 / yr
Posted
71 days ago
Freshness
Confirmed live today
Closes
Aug 17, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $159k
$93k $260k
below market most similar roles pay here above market

This role pays less than 80% of similar roles. Most pay $169,072–$235,750 — the blue band above. At the midpoint, this role pays about $159k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 145 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 140 roles with salary data.

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At a glance

TL;DR · Senior Scientist, siRNA Design and Off-Target Analysis

The Senior Scientist, siRNA Design and Off-Target Analysis joins the Biotherapeutic and Genetic Medicine department to support siRNA design and off-target assessment. This role involves establishing and optimizing siRNA sequences to enhance knockdown efficacy while reducing off-target liabilities. The successful candidate will build machine learning models based on high-throughput screening data, develop off-target assessment workflows, and integrate transcriptomic and genomic data. Key responsibilities include developing reusable tools and pipelines using Python and R, performing NGS library preparation, and interpreting transcriptomic data to identify biological risks. The position requires expertise in computational biology, RNA biology, and molecular design to solve problems related to nonclinical safety assessments and the development of selective RNA-based therapeutics. The role focuses on translating complex multi-omics data into actionable biological insights for safer therapeutic modalities.

What you'll do

  • Establish and improve pipelines for siRNA sequence design using genomic, transcriptomic, and RNA structural data.
  • Build machine learning models based on high-throughput screening data to improve siRNA sequence selection.
  • Interpret transcriptomic data to identify potential off-target signals and biological risks.
  • Develop and version-control reusable tools, scripts, and pipelines in Python or R for analysis and automation.
  • Support NGS library preparation for off-target analysis in collaboration with internal teams.
  • Generate clear data analysis reports, slide decks, and technical summaries for cross-functional partners.
  • Support transcriptomic and targeted validation studies for seed-mediated and sequence-dependent off-target effects.

What we're looking for

  • BS, MS, or PhD in computational biology, genomics, RNA biology, or a related field.
  • 0-4+ years experience for PhD, 8-10+ years for MS, or 10-12+ years for BS in relevant biotech or pharmaceutical industry.
  • Proficiency in Python and/or R to develop reproducible analytical workflows and analysis pipelines.
  • Experience supporting off-target analysis, mechanistic interpretation, or risk assessment for siRNA, ASO, or related therapeutic modalities.
  • Strong background in NGS library preparation technologies and transcriptomic data analysis.
  • Strong understanding of molecular and cellular biology to translate transcriptomic findings into biologically meaningful conclusions.
  • Experience preparing scientific reports, presentations, or regulatory-facing documentation.
  • Experience with transcriptome and multi-omics data integration (preferred).

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