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Digital Biology, located in Watertown, MA, seeks a Senior Research Associate to execute and scale high-throughput protein binder screening campaigns. You will manage core experimental workflows for external partners and ensure data quality for AI-driven protein design models.
This hands-on role requires executing scaled, multi-step assays with precision, maintaining rigorous documentation, and collaborating across protein engineers, molecular biologists, automation engineers, and computational
Job Title: Senior Research Associate, High-Throughput Protein Binder Screening
Location: Watertown, MA
Employment Type: Full-time, on-site
Digital Biology is the data lab for AI protein drug engineering, building a measurement-driven discovery engine for next-generation biologics. We combine high-throughput experimental systems, advanced molecular technologies, automation, and computational modeling to generate biological data at unprecedented scale and resolution.
Our team works across protein engineering, functional screening, spatial biology, and AI-guided drug discovery. We partner with leading biotechnology and pharmaceutical organizations to build training and validation datasets that enable the design of better therapeutic proteins.
Digital Biology is seeking a Senior Research Associate to execute and scale high-throughput protein binder screening campaigns. You will operate a core experimental workflow for external partners developing world-leading AI protein-design models, generating the large, consistent, and information-rich datasets required to train and improve those systems.
This is a highly hands-on role for a scientist who is excellent at executing scaled, multi-step assays with precision and throughput. You will be responsible for running binder-selection campaigns across large libraries and target panels, measuring assay performance, and ensuring that every campaign produces reproducible, decision-quality data.
You will work closely with protein engineers, molecular biologists, automation engineers, and computational scientists. The ideal candidate combines strong experimental discipline with the curiosity and initiative to continually make workflows more reliable, faster, and more scalable.
Digital Biology is an equal-opportunity employer. We value different experiences, perspectives, and ways of thinking, and we believe the strongest scientific teams are built by bringing together people with diverse backgrounds and expertise.
Company Benefits: Health, vision, life, dental insurance and 401K plan.