Sr Scientist I, AI / ML

AbbVie - Worcester, MA

Full-time - Mid Level

Worcester, MA

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 of experience with a BS, 8+ years with an MS, or 0-3+ years with a PhD in developing machine learning models related to chemical and biological data.
• Expertise in developing, implementing, and deploying machine learning and cheminformatics solutions.
• Strong analytical and problem-solving skills with the ability to think critically and creatively.
• Excellent communication skills to explain complex ideas to non-specialists.

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.
• Familiarity with modern deep learning architectures such as GNN, CNN, RNN, Transformer, GCNN, and MPNN.
• Experience with deep learning platforms such as Pytorch, Tensorflow, or Keras.

Benefits

• Health insurance coverage
• 401k retirement savings plan
• Paid holidays
• Flexible scheduling options
• Professional development opportunities