Senior Scientist, siRNA Design & Off-Target Analysis

BioSpace

Worcester (MA)

On-site

USD 120,000 - 180,000

Full time

34 hours ago
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Job summary

AbbVie is seeking a Senior Scientist in the Biotherapeutic and Genetic Medicine group to advance siRNA design with enhanced knockdown and reduced off-target liabilities. The role combines computational biology, genomics, and transcriptomic integration to generate actionable insights for safer RNA-based therapeutics.

The candidate will build pipelines, apply ML to screening data, collaborate on NGS workflows, and report findings to cross-functional partners.

Qualifications

  • BS/MS/PhD in computational biology, genomics, RNA biology or related field.
  • 0-4+ years (PhD), 8-10+ years (MS), or 10-12+ years (BS) biotech/pharma experience.
  • Proficiency in Python and/or R with reproducible workflows.
  • Experience supporting off-target analysis and risk assessment for RNAi-related modalities.
  • Strong background in NGS data analysis and transcriptomics.

Responsibilities

  • Establish, implement, and improve pipelines for siRNA design using genomic, transcriptomic, and RNA structure data.
  • Develop ML models to improve siRNA sequence selection from screening data.
  • Collaborate on NGS library preparation for off-target analysis and interpret transcriptomic signals.
  • Develop and maintain reusable analysis tools and pipelines in Python/R; produce reports and summaries.
  • Work with cross-functional teams to translate findings into actionable biological insights.
  • Stay current on RNAi biology, off-target analysis, and computational methods.

Skills

Python
R
NGS data analysis
Transcriptomics
Machine learning
Off-target analysis

Education

BS/MS/PhD in computational biology, genomics, RNA biology

Tools

Python
R
NGS library prep
Bioconductor

Job description

AbbVie is seeking a Senior Scientist in the Biotherapeutic and Genetic Medicine group to advance siRNA design with enhanced knockdown and reduced off-target liabilities. The role combines computational biology, genomics, and transcriptomic integration to generate actionable insights for safer RNA-based therapeutics.

The candidate will build pipelines, apply ML to screening data, collaborate on NGS workflows, and report findings to cross-functional partners.

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