AI-Driven ADC Design Principal Scientist II

AbbVie

Worcester (MA)

On-site

USD 142,000 - 269,000

Full time

7 days ago
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Benefits offered by this job

Paid time off
Medical/dental/vision insurance
Long-term incentives

Job summary

AbbVie Inc. in Worcester, MA is seeking a Principal Scientist II to lead the application of AI/ML to the design of antibody-drug conjugates (ADCs).

This full-time role combines computational biology, antibody engineering, chemistry, and translational science to create ADCs with improved efficacy and safety. The successful candidate will collaborate across biologics, medicinal chemistry, data science, and translational research teams to design antibody architectures, conjugation strategies, and

Qualifications

  • Bachelors with PhD or MS/PharmD path with extensive industry experience in biologics or ADCs.
  • PhD in computational biology, bioengineering, protein engineering, chemistry, or related field.
  • 8+ years in biologics, ADCs, or computational drug design with leadership exposure.
  • Strong antibody engineering and developability optimization experience.

Responsibilities

  • Develop and implement AI/ML models to guide ADC discovery and optimization.
  • Build predictive models for ADC properties including stability, PK, and toxicity.
  • Apply generative AI and structure-based design for novel antibody formats.
  • Integrate diverse datasets to accelerate iterative design-build-test cycles.
  • Guide engineering of antibodies to improve affinity, selectivity, and developability.
  • Design site-specific conjugation strategies and optimize DAR.

Skills

AI/ML modeling
Antibody engineering
Data integration
Cross-functional collaboration
Computational design methods

Education

PhD in related field
MS in related field
Bachelor’s in Science

Tools

Python
ML frameworks
Protein language models

Job description

AbbVie Inc. in Worcester, MA is seeking a Principal Scientist II to lead the application of AI/ML to the design of antibody-drug conjugates (ADCs).

This full-time role combines computational biology, antibody engineering, chemistry, and translational science to create ADCs with improved efficacy and safety. The successful candidate will collaborate across biologics, medicinal chemistry, data science, and translational research teams to design antibody architectures, conjugation strategies, and

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