Principal Scientist, Target Binding

The role

This person will lead Target Binding efforts within the Protein Analytics & Biophysics department. They will provide scientific and strategic leadership for protein–protein interaction, target-binding, and cell-binding measurements across biotherapeutic programs.

What you will do

• Lead Target Binding strategy and execution across multiple biotherapeutic programs.
• Design, develop, optimize, and oversee quantitative protein–protein interaction and cell-binding assays.
• Develop approaches to measure affinity, kinetics, stoichiometry, competition, and thermodynamics.
• Lead assay development for challenging molecular systems.
• Advance the Target Binding technology platform by evaluating emerging technologies.
• Establish standards for assay quality, instrumentation, data processing, and reproducibility.
• Apply quantitative, statistical, machine-learning, and agentic approaches to experimental design and data analysis.
• Partner with protein production, protein engineering, cell biology, pharmacology, and other teams.
• Directly manage, mentor, and develop junior scientists and research associates.
• Communicate technical findings and program recommendations to leadership and collaborators.

Required qualifications

• Ph.D. in biochemistry, biophysics, analytical chemistry, protein science, chemical biology, or a related discipline
• At least 8+ years of relevant industry experience
• Extensive experience developing and applying quantitative protein–protein interaction and target-binding assays in an industry setting
• Deep expertise with multiple interaction-measurement technologies, including SPR, BLI, KinExA, and cell-binding assays
• Strong understanding of associated instrumentation, assay formats, sample-handling requirements, data-processing workflows, and troubleshooting strategies
• Demonstrated success characterizing complex protein-protein interactions
• Track record of developing novel protein-interaction measurement methods or building new technical capabilities
• Experience leading scientific strategy across multiple cross-functional programs
• Proven experience managing, mentoring, and developing scientists or research associates
• Strong quantitative, statistical, communication, and problem-solving skills

Nice to have

• Experience with biotherapeutic analytics and developability assessment for antibodies, multispecifics, antibody–drug conjugates, engineered proteins, or other biologic modalities
• Experience with laboratory automation, high-throughput experimentation, instrument integration, or computational data pipelines
• Proficiency with scripting, quantitative modeling, data science, or machine-learning workflows
• Practical experience using AI-enabled or agentic tools for data processing, experiment design, scientific analysis, or workflow automation
• Record of publications, patents, external collaborations, or internally deployed platform technologies

Benefits

• Annual bonus
• Equity compensation
• Competitive benefits package

About the company

Generate Biomedicines is a clinical-stage generative biology company pioneering the AI revolution in drug design and development. The company integrates machine learning with large-scale experimentation to design proteins with defined biological intent.