<p><strong>The Role: </strong></p> <p>Generate is seeking an accomplished Principal Scientist to lead Target Binding efforts within our Protein Analytics & Biophysics (PAB) department.</p> <p>This individual will provide scientific and strategic leadership for protein–protein interaction, target-binding, and cell-binding measurements across multiple biotherapeutic discovery and development programs. The role will combine hands-on technical expertise, novel technology development, cross-functional program leadership, and direct management of junior scientists and research associates. </p> <p>The successful candidate will be an established industry expert in quantitative biophysical assay development, particularly for challenging systems such as integral membrane proteins, lipid- associated targets, detergent-solubilized proteins, and multispecific molecules.</p> <p><strong>Here's how you will contribute:</strong></p> <p>• Lead Target Binding strategy and execution across multiple biotherapeutic programs, serving as a senior PAB representative on cross-functional teams.<br>• Design, develop, optimize, and oversee quantitative protein–protein interaction and cell- binding assays.<br>• Develop fit-for-purpose approaches to measure affinity, kinetics, stoichiometry, competition, thermodynamics, and other complex binding mechanisms.<br>• Lead assay development for challenging molecular systems, including integral membrane proteins, lipid-raft-associated targets, detergent-solubilized proteins, membrane mimetics, and multispecific molecules.<br>• Advance the Target Binding technology platform by evaluating emerging technologies and developing novel, automated, high-throughput, or computationally enabled measurement approaches.<br>• Establish standards for assay quality, instrumentation, data processing, reproducibility, and interpretation across the function.<br>• Apply quantitative, statistical, machine-learning, and agentic approaches to improve experimental design, data analysis, troubleshooting, and scientific decision-making.<br>• Partner with protein production, protein engineering, cell biology, pharmacology, prototyping lab, computational drug design, and therapeutic-application teams.<br>• Directly manage, mentor, and develop junior scientists and research associates, including providing technical direction, setting priorities, and supporting career development.<br>• Communicate complex technical findings and program recommendations to project teams, senior leadership, external collaborators, and technology partners.</p> <p><strong>The Ideal Candidate will have:</strong></p> <p>• Ph.D. in biochemistry, biophysics, analytical chemistry, protein science, chemical biology, or a related discipline, with at least 8+ years of relevant industry experience.<br>• Extensive experience developing and applying quantitative protein–protein interaction and target-binding assays in an industry setting.<br>• Deep expertise with multiple interaction-measurement technologies, including SPR, BLI, KinExA, and cell-binding assays.<br>• Strong understanding of the associated instrumentation, assay formats, sample-handling requirements, data-processing workflows, and troubleshooting strategies.<br>• Demonstrated success characterizing complex protein-protein interactions.<br>• Track record of developing novel protein-interaction measurement methods or building new technical capabilities.<br>• Experience leading scientific strategy across multiple cross-functional programs.<br>• Proven experience managing, mentoring, and developing scientists or research associates.<br>• Strong quantitative, statistical, communication, and problem-solving skills.</p> <p><strong>Preferred Qualifications</strong><br>• Experience with biotherapeutic analytics and developability assessment for antibodies, multispecifics, antibody–drug conjugates, engineered proteins, or other biologic modalities.<br>• Experience with laboratory automation, high-throughput experimentation, instrument integration, or computational data pipelines.<br>• Proficiency with scripting, quantitative modeling, data science, or machine-learning workflows.<br>• Practical experience using AI-enabled or agentic tools for data processing, experiment design, scientific analysis, or workflow automation.<br>• Record of publications, patents, external collaborations, or internally deployed platform technologies.</p> <p><br><strong>Leadership Attributes</strong><br>• Recognized technical authority in protein–protein interaction measurement and biophysical assay development.<br>• Strategic, quantitative, and scientifically rigorous.<br>• Comfortable moving between hands-on experimentation, technology strategy, and program-level decision-making.<br>• Curious and willing to challenge established approaches when new technologies can improve scientific outcomes.<br>• Collaborative leader who develops people and builds organizational capabilities.</p> <p><strong>About Generate Biomedicines</strong></p> <p class="markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling">We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associ