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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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
