Sr Scientist I, AI / ML

$91,500 - $173,500/Yr

AbbVie - North Chicago, IL

Full-time - Senior

North Chicago, IL

Chemical Manufacturing

About the position

The Sr Scientist I, AI / ML position at AbbVie focuses on advancing AI and machine learning technologies within the Computational Drug Discovery group. The role involves developing innovative methods for molecular generation and drug-target interaction prediction, leveraging AI/ML to enhance drug design capabilities. The candidate will collaborate with various disciplines to accelerate drug discovery processes, utilizing state-of-the-art modeling and simulation technologies.

Responsibilities

• Identify, develop, optimize, validate, and deploy innovative methods for molecular generation and drug-target interaction prediction.
• Leverage artificial intelligence and machine learning models to enhance molecular design capabilities.
• Collaborate with internal computational chemistry and cheminformatics groups to accelerate drug discovery from hit identification through candidate selection.
• Implement, debug, and maintain computational tools in common programming languages.
• Utilize cloud computing capabilities to support computational solutions.

Requirements

• BS, MS, or PhD in Chemistry, Computer Science, Machine Learning, Cheminformatics, Chemical Engineering, or related field.
• Typically 10+ years (BS), 8+ years (MS), or 0-3+ years (PhD) of experience developing machine learning models related to chemical and biological data.
• Expertise in developing, implementing, and deploying programs using Machine Learning/Deep Learning and Cheminformatics.
• Strong programming skills in Python and experience with data science libraries such as numpy, pandas, and scikit-learn.
• Ability to communicate complex ideas clearly and concisely to colleagues and collaborators.

Nice-to-haves

• Expertise in AI/ML-enabled molecular generation, pose generation, and/or affinity prediction.
• Familiarity with KNIME, Pipeline Pilot, or other automation interfaces.
• Experience with deep learning platforms such as Pytorch, Tensorflow, or Keras.
• Familiarity with modern deep learning architectures including GNN, CNN, RNN, Transformer, GCNN, and MPNN.

Benefits

• Paid time off (vacation, holidays, sick)
• Medical, dental, and vision insurance
• 401(k) plan
• Short-term incentive programs