Senior Scientist in AI-Assisted Drug Discovery

Job Description

The Senior Scientist role will be a key member of the Discovery team, responsible for leading and collaborating on machine learning-based protein design initiatives in the development of new cell therapies. Engaging with a cross-functional team in a fast-paced environment, you’ll identify and develop Arcellx’s lead therapeutic candidates. Our potentially life-saving treatments would not exist without the work of our talented Discovery scientists; this role will have a tremendous impact on our pipeline and ability to deliver novel and effective drugs to patients.

The “Fine Print” – What You’ll Do

• Lead and collaborate with an interdisciplinary team of scientists to design and evaluate novel proteins and de novo biological systems in support of therapeutic programs.
• Implement and develop ML-based, protein design solutions for structure prediction, paratope/epitope analysis, affinity maturation, developability assessment, scaffold optimization, library design, immunogenicity and other protein engineering challenges.
• Communicate progress and project recommendations in one-on-ones, project teams and company-wide meetings.

Skills and Experience We Look For

• PhD in computer science, computational biology, structural biology, synthetic biology, biophysics, bioinformatics or related discipline.
• Demonstrated expertise in generative AI and deep learning algorithms, frameworks, associated programming languages and systems architecture.
• The ability to independently design, build and evaluate ML models.
• Expertise in state-of-the-art protein design applications such as Rosetta, AlphaFold2, RoseTTAFold, RFdiffusion, ProteinMPNN, etc.
• Strong working knowledge of protein developability considerations for therapeutic proteins.
• Able to work collaboratively and communicate effectively in interdisciplinary teams.