{"id":2583587,"url":"https://alion.io/job/digit-senior-research-associate-high-throughput-protein-binder-screening","title":"Senior Research Associate, High-Throughput Protein Binder Screening","company":{"id":4417144,"name":"Digital Biology","domain":"digit.bio","url":"https://alion.io/company/digit-6","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Watertown, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":179000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1015},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Next-Generation Sequencing","optional":true}],"status":"live","first_seen_at":"2026-09-24T13:33:37Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-10-26T14:47:08Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Job Title: Senior Research Associate, High-Throughput Protein Binder Screening\nLocation: Watertown, MA\nEmployment Type: Full-time, on-site\nAbout Digital Biology\nDigital 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.\nOur 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.\nThe Position\nDigital 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.\nThis 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.\nYou 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.\nResponsibilities\nExecute end-to-end, high-throughput display campaigns, including library preparation, production, selection, amplification, and sequencing preparation\nManage concurrent partner campaigns against defined timelines, quality standards, and deliverables\nOptimize key steps within complex workflows and improve throughput, reproducibility, cost, and turnaround time\nMaintain rigorous documentation, sample traceability, and standardized procedures\nCollaborate with computational teams to structure experimental data and metadata for downstream analysis\nPartner with automation engineers to optimize robotic liquid-handling workflows\nCommunicate campaign progress, results, risks, and recommendations to stakeholders\nRequired Qualifications\nBS, MS, or equivalent experience in protein biochemistry, molecular biology, biological engineering, or a related field\nIndustry experience with high-throughput assays and strong molecular biology fundamentals\nDemonstrated ability to execute and troubleshoot complex, multi-step workflows\nExperience with or strong interest in laboratory automation\nPreferred Qualifications\nDirect experience with phage display or yeast display.\nHigh-throughput cloning and/or library experience.\nExperience with library preparation for NGS.\nExperience operating or developing workflows for automated liquid handlers.\nWhy You Might Be a Good Fit\nYou are energized by ambitious, high-throughput experiments where execution quality directly determines the value of the data.\nYou take ownership of complex workflows, proactively troubleshooting and improving their reproducibility, efficiency, and scale.\nYou thrive in a fast-moving, collaborative environment and communicate effectively across scientific, computational, and engineering teams.\nWhat We Offer\nShaping the data foundations behind AI-driven protein and antibody design.\nBuilding, scaling, and leveraging one of the most powerful wet-lab screening platforms in biotech.\nWorking closely with experts in protein engineering, bioinformatics, automation and computation.\nAn ambitious team solving hard problems at the intersection of hard tech, biology, and ML.\nCompetitive salary, equity and benefits.\nDigital 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.\nCompany Benefits: Health, vision, life, dental insurance and 401K plan.\nIf you don't meet all of the requirements listed here, we still encourage you to apply or reach out to us. 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