AI Protein Design Scientist

A clinical-stage biopharmaceutical organization focused on advancing novel cancer therapies through the development of multi-specific antibodies and antibody-drug conjugates (ADCs). With a strong pipeline that includes multiple assets in clinical development and a growing preclinical portfolio, the team is looking to expand its AI-driven drug design capabilities with a skilled Protein Design Scientist.

Job Summary:

We are seeking a creative and driven scientist to join the AI-driven drug design team, contributing to the development and optimization of a computational protein design pipeline. This individual will leverage data-driven methodologies to support the creation of innovative multi-specific biologics. A strong background in the computational design of peptides and proteins-with expertise in structural modeling, prediction, and optimization-is essential for success in this role.

Essential Duties and Responsibilities:

• Utilize a computational pipeline to predict properties of peptides, natural ligands, de novo proteins, and antibody-based components.
• Support assay validation, technology transfer, and development initiatives; contribute to yeast display-based protein discovery platforms.
• Leverage structural and sequence analysis to design new macromolecular therapeutics, using in silico predictions to inform lead optimization.
• Analyze, interpret, and clearly present data to scientific and leadership stakeholders.
• Collaborate cross-functionally with discovery, engineering, and immuno-oncology teams to support therapeutic innovation.

Qualifications:

• PhD (or equivalent) in bioengineering, biophysics, biochemistry, molecular biology, cell biology, or a related discipline.
• 8+ years of experience utilizing yeast libraries to discover protein binders or therapeutic antibodies.
• Proficiency with relevant macromolecular modeling tools (e.g., Alpha Fold, RoseTTAFold, RFdiffusion, Protein
  
  MPNN, Gromacs, MOE, Schrödinger).
• Hands-on expertise in antibody screening methods (e.g., ELISA, multi-parametric flow cytometry, BLI/OCTET).
• Track record of contributing to therapeutic antibody development; experience designing and validating novel biologically relevant antibodies is highly desirable.