Senior Scientist, siRNA Design and Off-Target Analysis
AbbVie
August 17, 2026
Remote friendly (Worcester, MA)
United States
$109,500 - $208,500 USD yearly
Clinical Research and Development
Senior Scientist (Senior Scientist I or Senior Scientist II)
Key Responsibilities
- Establish, implement, and improve pipelines for siRNA sequence design, integrating genomic, transcriptomic, and RNA structural data to improve target specificity and efficacy.
- Build machine learning models using high-throughput siRNA screening data to improve siRNA sequence selection.
- Collaborate with internal teams on NGS library preparation for off-target analysis.
- Interpret transcriptomic data to identify potential off-target signals and biological risk.
- Develop, maintain, and version-control reusable Python/R (or other) tools, scripts, and pipelines for analysis, visualization, automation, and reporting.
- Produce clear, traceable data analysis reports, slide decks, and technical summaries.
- Collaborate with in vitro assay scientists, oligonucleotide scientists, and AI colleagues to translate findings into actionable biological insights.
- Support transcriptomic and targeted validation studies for seed-mediated and sequence-dependent off-target effects.
- Stay current on RNAi biology, off-target analysis, transcriptomics, and computational methods for nonclinical safety assessment.
Qualifications
- BS/MS/PhD in computational biology, genomics, RNA biology, or related field; relevant industry experience: 0–4+ yrs (PhD), 8–10+ yrs (MS), or 10–12+ yrs (BS).
- Proficiency in Python and/or R (or other languages) with experience building reproducible analysis pipelines.
- Experience with off-target analysis, mechanistic interpretation, or risk assessment for siRNA/ASO (or related modalities).
- Strong background in NGS library preparation and transcriptomic data analysis.
- Strong molecular/cellular biology understanding and ability to translate transcriptomic findings.
- Experience preparing scientific reports, presentations, or regulatory-facing documentation.
- Excellent communication, organizational, and collaboration skills; ability to work independently and in cross-functional environments.
Preferred Qualifications
- Transcriptome and multi-omics integration.
- RNA biology/RNAi mechanisms/nucleic acid therapeutics experience.
- Experience evaluating ML-enabled workflows (LLM-assisted/agentic tools).
- Experience in pharmaceutical/biotech/translational research settings.
Benefits (if explicitly stated)
- Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees.
- Eligible for short-term incentive programs.
Key Responsibilities
- Establish, implement, and improve pipelines for siRNA sequence design, integrating genomic, transcriptomic, and RNA structural data to improve target specificity and efficacy.
- Build machine learning models using high-throughput siRNA screening data to improve siRNA sequence selection.
- Collaborate with internal teams on NGS library preparation for off-target analysis.
- Interpret transcriptomic data to identify potential off-target signals and biological risk.
- Develop, maintain, and version-control reusable Python/R (or other) tools, scripts, and pipelines for analysis, visualization, automation, and reporting.
- Produce clear, traceable data analysis reports, slide decks, and technical summaries.
- Collaborate with in vitro assay scientists, oligonucleotide scientists, and AI colleagues to translate findings into actionable biological insights.
- Support transcriptomic and targeted validation studies for seed-mediated and sequence-dependent off-target effects.
- Stay current on RNAi biology, off-target analysis, transcriptomics, and computational methods for nonclinical safety assessment.
Qualifications
- BS/MS/PhD in computational biology, genomics, RNA biology, or related field; relevant industry experience: 0–4+ yrs (PhD), 8–10+ yrs (MS), or 10–12+ yrs (BS).
- Proficiency in Python and/or R (or other languages) with experience building reproducible analysis pipelines.
- Experience with off-target analysis, mechanistic interpretation, or risk assessment for siRNA/ASO (or related modalities).
- Strong background in NGS library preparation and transcriptomic data analysis.
- Strong molecular/cellular biology understanding and ability to translate transcriptomic findings.
- Experience preparing scientific reports, presentations, or regulatory-facing documentation.
- Excellent communication, organizational, and collaboration skills; ability to work independently and in cross-functional environments.
Preferred Qualifications
- Transcriptome and multi-omics integration.
- RNA biology/RNAi mechanisms/nucleic acid therapeutics experience.
- Experience evaluating ML-enabled workflows (LLM-assisted/agentic tools).
- Experience in pharmaceutical/biotech/translational research settings.
Benefits (if explicitly stated)
- Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees.
- Eligible for short-term incentive programs.