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This position has closed. AbbVie removed this listing from their careers page on Oct 6, 2026. The interview prep below is still useful, and there are similar open roles at the bottom of this page.

Principal Research Scientist I - Bio CMC Developability Modeling

AbbVie · North Chicago, IL · Full time · Research

Posted Jun 10, 2026 · We last checked this listing on Oct 5, 2026

Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a model you built that changed how a protein was designed or selected.

What they are checking: Whether their modeling has actually influenced molecule decisions rather than staying academic.

Describe a time a model you trusted turned out to be wrong. What did you learn?

What they are checking: Whether they validate honestly and understand the domain where a model can be trusted.

How do you explain model uncertainty to formulation scientists who want a yes or no answer?

What they are checking: Whether they can communicate predictions in a useful way without overstating confidence.

What would you do

Your model says a candidate will aggregate, but the discovery team loves its potency. How do you handle that conversation?

What they are checking: Whether they can influence protein design with evidence and appropriate confidence, not just block candidates.

How would you extend developability models built on antibodies to bispecifics or other novel formats?

What they are checking: Whether they recognize when training data no longer represents new molecules and plan around it.

About the work

Walk me through how you would build a model to predict high-concentration viscosity for monoclonal antibodies.

What they are checking: Whether they understand the physical drivers of viscosity and how to turn them into predictive features.

When would you choose a physics-based or first-principles approach over a statistical or machine learning model for protein stability?

What they are checking: Whether they can pick the right modeling approach for the data available and the question being asked.

How would you predict chemical degradation risks like deamidation, isomerization or oxidation from sequence and structure?

What they are checking: Whether they know the main liabilities in therapeutic proteins and how to flag them early.

How would you design a custom study to generate data that improves a model where it is weakest?

What they are checking: Whether they think about active learning and targeted data generation instead of only using what exists.

What makes high-throughput biophysical data ML-ready, and what problems have you seen with lab data used for modeling?

What they are checking: Whether they understand data quality, metadata and assay variability as limits on model performance.

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The full job description

As published by AbbVie.

Overview The Development Sciences Biologics Drug Product Development organization within AbbVie develops and characterizes drug product formulations and manufacturing processes to provide clinical dosage forms to enable the development of AbbVie’s pipeline. AbbVie is seeking a highly motivated person to join the Biologics CMC Developability Team. Our team utilizes start-of-the-art biophysical and analytical instrumentation to assess candidates coming out of the Discovery pipeline. We collaboratively influence protein design paradigms to yield biologic candidates that will be successful drug products. Key to our success is developing models of protein structure and function to augment decision making in protein design and development. We utilize high throughput instrumentation and digital data systems to capture ML-ready data on industry leading datasets of therapeutic proteins. To drive maximum benefit from this data, we are seeking an experienced scientist to lead modeling efforts within our team. The successful candidate will bring deep experience of modeling protein stability or related properties to solve foundational questions such as viscosity, chemical degradation, and aggregation. Applicable modeling techniques could range from first principles to statistical based approaches. This role includes the opportunity to design molecules and custom studies for data generation, so knowledge of biochemistry experimentation is useful. The candidate will be a member of a global team and will work closely with scientists from multiple functional areas, including Discovery, Development Science Digital Transformation, and Information Research. Key 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 • 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 Key Competencies: • Build strong relationships with peers and cross functionally with partners outside of the team to enable higher performance. • Excellent oral communication skills in a scientific setting as well as sound technical writing and documentation competencies are required. • The candidate must be able to work independently, respond to changing priorities and short lead times for multiple tasks; able to identify problems and work toward solutions. • Raises the bar and is never satisfied with the status quo. • Creates a learning environment, open to suggestions and experimentation for improvement. • Embraces the ideas of others, nurtures innovation and manages innovation to reality. 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 long-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.​ AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html