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AbbVie

Principal Research Scientist I, Biologics CMC Developability Modeling

AbbVie

. Serve as a technical expert for modeling within the Biologics CMC Developability Team .

Posted 11/9/2026full-timeRemote • Illinois • United StatesLead💰 $124,500 - $236,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in mechanistic and statistical modeling techniques for protein stability and formulation screening, alongside strong technical writing and communication skills for scientific documentation and presentations.

Highest-signal resume keywords
Mechanistic Modeling TechniquesStatistical Modeling TechniquesPredictive Machine LearningTechnical WritingOral Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Kinetic Degradation ModelingFeature AttributionSensitivity AnalysisModel InterpretabilityDeep LearningHierarchical FrameworksMulti-Task Frameworks
Soft Skills
Problem SolvingIndependenceAdaptabilityCollaboration
Industry Keywords
Biologics CMCPharmaceuticsPharmaceutical SciencesChemical EngineeringDevelopability Assessment

About the role

Key responsibilities & impact
  • Serve as a technical expert for modeling within the Biologics CMC Developability Team
  • Represent BCD in modeling communities within AbbVie and collaborate with modelers and other teams to ensure business needs are met by the correct modeling framework
  • Perform in vitro laboratory experiments as needed
  • Work with teams to design wet lab studies that build models and fundamental knowledge of protein solution behavior
  • Identify emerging scientific and technological trends from internal and external sources, assess relevance, and integrate applicable trends into BCD plans and strategies
  • Present data at internal and external professional conferences
  • Prepare manuscripts for publication in peer-reviewed journals or patent applications
  • Potentially serve as BCD Lead and coordinate developability assessment activities for 1–2 Discovery Projects at a time
  • Make cross-functional decisions across reporting lines

Requirements

What you’ll need
  • BS, MS, or PhD in Pharmaceutics, Pharmaceutical Sciences, Chemistry, Chemical Engineering, or related disciplines
  • 14+ years of relevant industry experience with a bachelor's degree, 12+ years with a master's degree, or 6+ years with a PhD
  • Proven ability to solve critical scientific problems
  • Direct experience applying mechanistic or statistical modeling techniques to protein long-term stability or formulation screening, such as kinetic degradation modeling
  • Well versed in predictive machine learning and statistical modeling techniques
  • Familiarity with complex ML architectures including deep learning and hierarchical or multi-task frameworks
  • Skilled with feature attribution, sensitivity analysis, and model interpretability
  • Excellent oral communication skills in a scientific setting
  • Strong technical writing and documentation competencies
  • Ability to work independently, respond to changing priorities and short lead times for multiple tasks, identify problems, and work toward solutions

Benefits

Comp & perks
  • Paid time off (vacation, holidays, sick)
  • Medical, dental, and vision insurance
  • 401(k)
  • Eligibility to participate in long-term incentive programs