Biologics Modeling Scientist — Developability Lead

BioSpace; North Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

401(k) plan

Long-term incentive programs

Paid time off

Job summary

AbbVie is seeking a highly motivated scientist to join the Biologics CMC Developability Team, focusing on modeling protein stability and related properties using ML and first-principles approaches. The role includes designing molecules and studies to generate data and inform decisions in drug development.

You will collaborate with global teams across Discovery, Development Science Digital Transformation, and Information Research to apply advanced analytics to protein formulations and

Qualifications

• BS, MS, or PhD in Pharmaceutics, Pharmaceutical Sciences, Chemistry, Chemical Engineering, or related disciplines with 14+ (Bachelors), 12+ (Masters), or 6+ (PhD) years of relevant industry experience.
• Proven ability to solve critical scientific problems.
• Direct experience with applying modeling techniques (mechanistic or statistical) to protein long-term stability or formulation screening such as kinetic degradation modeling.
• Well versed in predictive machine learning and statistical modeling techniques.
• Familiar with complex ML architectures including deep learning and hierarchical or multi-task frameworks.
• Skilled with feature attribution, sensitivity analysis, and model interpretability.

Responsibilities

• Serve as a technical expert for modeling within Biologics CMC Developability Team.
• Represent BCD in modeling communities within AbbVie; collaborates with other modelers or teams to ensure business needs are met by the correct modeling framework.
• May perform in vitro laboratory experiments; works closely with teams for design of wet lab studies to build both models and fundamental knowledge of protein solution behavior.
• Identifies emerging scientific and technological trends from multiple internal and external sources, assesses relevance and integrates applicable trends into BCD plans and strategies as appropriate. Present data at internal and external professional conferences and prepare manuscripts for publication in peer reviewed journals or patent applications.
• May serve as BCD Lead, coordinate developability assessment activities for 1-2 Discovery Projects at a time.

Skills

Protein stability modeling

Machine learning

Statistical modeling

Deep learning

Model development

In vitro experiments

Education

BS, MS, or PhD in Pharmaceutics/Pharmaceutical Sciences/Chemistry/Chemical Engineering

Tools

Deep learning frameworks

Statistical analysis tools

Job description

AbbVie is seeking a highly motivated scientist to join the Biologics CMC Developability Team, focusing on modeling protein stability and related properties using ML and first-principles approaches. The role includes designing molecules and studies to generate data and inform decisions in drug development.

You will collaborate with global teams across Discovery, Development Science Digital Transformation, and Information Research to apply advanced analytics to protein formulations and