Research Associate

Job Title: Senior Research Associate, High-Throughput Protein Binder Screening
Location: Watertown, MA
Employment Type: Full-time, on-site

About Digital Biology

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.

The Position

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.

Responsibilities

• Execute end-to-end, high-throughput display campaigns, including library preparation, production, selection, amplification, and sequencing preparation
• Manage concurrent partner campaigns against defined timelines, quality standards, and deliverables
• Optimize key steps within complex workflows and improve throughput, reproducibility, cost, and turnaround time
• Maintain rigorous documentation, sample traceability, and standardized procedures
• Collaborate with computational teams to structure experimental data and metadata for downstream analysis
• Partner with automation engineers to optimize robotic liquid-handling workflows
• Communicate campaign progress, results, risks, and recommendations to stakeholders

Required Qualifications