Senior Scientist, Discovery Biotherapeutics – Computational Engineering (AI/ML)

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Are you an innovative and self-motivated data scientist with a passion for leveraging AI/ML in computational protein design? Join AbbVie's Discovery Biotherapeutics team as a Senior Scientist, where you'll have the opportunity to work on groundbreaking technologies for discovering and developing novel biotherapeutics.

About the Role:

In this pivotal role, you will utilize your expertise in AI/ML and computational protein design to drive the development of cutting-edge biotherapeutics. You'll have access to leading modeling tools and collaborate with a cross-functional team focused on protein production and characterization.

Key Responsibilities:

• Develop and implement state-of-the-art AI/ML methodologies for computational protein design, including fine-tuning protein language models and generative protein design.
• Stay abreast of advancements in NLP, ML, and generative AI to build novel tools that enhance therapeutic discovery and development.
• Collaborate with internal experts to optimize the computational discovery infrastructure, offering both individual and team-based innovative solutions.
• Communicate complex scientific ideas effectively to both technical and non-technical audiences, fostering collaboration across multidisciplinary teams.

Qualifications

Qualifications:

• BS, MS, or PhD in Chemistry, Computer Science, Machine Learning, Cheminformatics, Chemical Engineering, or related fields, with typically 10-12+ years (BS), 8-10+ years (MS), or 0-4+ years (PhD) of experience.
• Proven track record in developing machine learning models for chemical and biological data, including AI/ML-enabled m