AbbVie

Senior Scientist, siRNA Design and Off-Target Analysis

AbbVie$120K — $145K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in computational biology, genomics, RNA biology, or a related field with relevant industry experience (0-12+ years depending on degree)
  • Proficiency in Python and/or R, with expertise in building reproducible analytical workflows
  • Experience in off-target analysis and mechanistic interpretation for siRNA or ASO
  • Strong skills in NGS library preparation and transcriptomic data analysis
  • Solid foundation in molecular and cellular biology with an ability to derive biological insights from transcriptomic data
  • Experience in generating scientific reports and regulatory documentation
  • Excellent communication, organization, and collaboration skills

Responsibilities

  • Establish and enhance pipelines for siRNA sequence design using genomic and transcriptomic data
  • Build machine learning models based on siRNA screening to refine sequence selection
  • Collaborate on NGS library preparation for off-target assessments
  • Analyze transcriptomic data for potential off-target signals and associated risks
  • Develop and maintain analytical tools and scripts in Python, R, or similar languages
  • Produce clear data analysis reports, presentations, and technical summaries
  • Work with cross-functional teams to convert findings into actionable insights

Benefits

  • Paid time off including vacation, holidays, and sick leave
  • Medical, dental, and vision insurance
  • 401(k) plan eligibility
  • Participation in short-term incentive programs
Full Job Description
AbbVie's Biotherapeutic and Genetic Medicine (BGM) department is seeking a highly motivated Senior Scientist with deep expertise in computational biology, molecular design, and next-generation sequencing to support siRNA design and off-target assessment. This role will establish and optimize siRNA sequences with enhanced knockdown efficacy and reduced off-target liabilities, develop off-target assessment workflows, and integrate transcriptomic and genomic data. The ideal candidate will combine strong biological insight with quantitative skills to advance siRNA design, identify potential off-target risks, and contribute to the development of safer, more selective RNA-based therapeutics. Key Responsibilities - Establish, implement, and improve pipelines for siRNA sequence design, integrating genomic, transcriptomic, and RNA structural data along with other factors that influence siRNA target specificity and efficacy. - Build machine learning models based on 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 tools, scripts, and pipelines in Python, R, or other programming languages to support analysis, visualization, automation, and reporting. - Generate clear and traceable data analysis reports, slide decks, and technical summaries. - Collaborate with in vitro assay scientists, oligonucleotide scientists, and AI colleagues, and cross-functional partners to translate findings into actionable biological insights. - Support transcriptomic and targeted validation studies relevant to seed-mediated and sequence-dependent off-target effects. - Stay current on advances in RNAi biology, off-target analysis, transcriptomics, and computational methods relevant to nonclinical safety assessment. Qualifications - BS, MS, or PhD in computational biology, genomics, RNA biology, or a related field with typically 0-4+ years (PhD), 8-10+ years (MS), or 10-12+ years (BS) of relevant biotech or pharmaceutical industry experience. - Proficiency in Python and/or R, or other programming languages, with experience developing 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, with the ability to translate transcriptomic findings into biologically meaningful conclusions. - Experience preparing scientific reports, presentations, or regulatory-facing documentation. - Excellent communication, organizational, and collaboration skills. - Ability to work independently, manage multiple priorities, and contribute effectively in a cross-functional environment. Preferred Qualifications - Experience with transcriptome and other multi-omics data integration. - Experience with RNA biology, RNAi mechanisms, or nucleic acid therapeutics. - Prior experience evaluating machine learning-enabled scientific workflows, including LLM-assisted or agentic tools. - Experience in pharmaceutical, biotech, or translational research settings. Position will be filled at level commensurate with extent of education, experience, and accomplishment - Senior Scientist I or Senior Scientist II Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: - The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. - We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. - This job is eligible to participate in our short-term incentive programs. - This job may be eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.

About AbbVie

AbbVie develops pharmaceuticals and medical devices. They provide products and services to therapeutic areas including immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology.

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Learn more about AbbVie
Size
50,000 employees
Market Cap
$288.5 billion
Industry
Net Income
$4.6 billion
Founded
2013
5 Year Trend
+17%
Revenue
$45.8 billion
NASDAQ

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