Principal Research Scientist I, Biologics CMC Developability Modeling

🔥 51 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $124.5k - $236.5k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

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AbbVie

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2013

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

AbbVie is a global pharmaceutical company that discovers and delivers innovative medicines and solutions to enhance lives. With a focus on addressing the world's toughest health challenges, AbbVie operates in over 175 countries, providing a wide range of products across areas like immunology, oncology, neuroscience, and aesthetics. Committed to scientific innovation, AbbVie invests heavily in research and development, aiming to produce first-in-class medicines. The company also emphasizes workplace diversity, sustainability, and patient support initiatives, ensuring positive impact for both its patients and the broader community.

📋 Description

• Serve as a technical expert for modeling within the Biologics CMC Developability Team • Represent the team in modeling communities within AbbVie and collaborate with other modelers or 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, assess relevance, and integrate applicable trends into team plans and strategies • Present data at internal and external professional conferences • Prepare manuscripts for peer-reviewed journals or patent applications • Serve as BCD Lead and coordinate developability assessment activities for 1–2 Discovery Projects at a time • Participate in cross-functional decision-making across reporting lines

🎯 Requirements

• 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

• Paid time off (vacation, holidays, sick) • Medical, dental, and vision insurance • 401(k) • Long-term incentive programs • Equal opportunity employment

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