Principal Research Scientist II, AI / ML Team Lead

AbbVie - North Chicago, IL

Full-time - Senior

North Chicago, IL

Chemical Manufacturing

About the position

The Principal Research Scientist II, AI / ML Team Lead at AbbVie is a leadership role focused on integrating advanced AI and machine learning methodologies into the drug discovery process. This position is pivotal in guiding the strategic direction of AI/ML applications within the Computational Drug Discovery (CDD) team, enhancing the efficiency and effectiveness of drug development across various therapeutic areas. The role involves collaboration with internal and external experts to innovate and optimize workflows, ensuring the successful deployment of AI/ML capabilities in drug discovery.

Responsibilities

• Contribute to the scientific and strategic incorporation of AI/ML tools into existing CDD workflows.
• Interface closely with CDD members to identify opportunities for incorporating AI/ML strategies to enhance drug discovery contributions.
• Collaborate with experts to leverage external innovation and manage research collaborations.
• Make informed decisions based on data review and analysis.
• Manage multiple projects within the AI/ML team to drive pipeline science.
• Identify, develop, optimize, validate, and deploy innovative methods for data mining, molecular generation, scoring, and modeling using AI/ML models and big data.
• Interface with AbbVie IT infrastructure teams to ensure effective deployment of AI/ML capabilities.

Requirements

• BS, MS, or Ph.D. in computational chemistry or related discipline with 16+ years (BS), 14+ years (MS), or 8+ years (PhD) of experience.
• Managerial experience leading a scientific research team.
• Strong track record of people, technical, and research project management with significant impact.
• Robust publication record demonstrating high-impact scientific achievement.
• Established network with key academic and industrial opinion leaders in machine learning and computational research.
• Knowledge and experience in state-of-the-art modeling, simulation, and machine learning technologies and workflows.
• Strong written and oral communication skills.
• Strong leadership skills with the ability to navigate multiple stakeholders and motivate staff.