Jobs at Adaptyv

Own and productize an automated, high-throughput antibody developability assay panel (thermostability, aggregation, self-association, polyreactivity, solubility, chemical liabilities). Scale assays with lab automation, connect experimental data to computational prediction, interpret results for customers, and set scientific standards while working hands-on at the bench.

Join a team building an automated lab that lets AI agents run biology experiments: reverse-engineer instruments into API-controllable hardware, orchestrate dozens of devices through complex workflows, implement observability and data-processing pipelines, and build AI systems that troubleshoot production results and accelerate assay development. Applicants must demonstrate exceptional, hands-on accomplishments and explain how they'd materially improve Adaptyv.

Embed with customers to integrate Adaptyv's lab API into their protein-design pipelines, build SDKs and services, automate experiment submission and result ingestion, prototype then productionize integrations, and feed field learnings back to product and engineering.

Work directly with customers to scope and run iterative protein design campaigns: advise on design strategy, plan experiments, analyze biophysical data (binding, expression, stability), close the iteration loop, and feed learnings back to product and platform teams. Build long-term scientific partnerships and translate experimental results into improved designs and workflows.

Lead and run mammalian protein expression (CHO/HEK, transient and stable) and purification (Protein A, IEX, SEC). Convert bespoke protocols into robust, automated, high-throughput workflows, partner with automation and software teams to instrument and observe production, optimize titer and quality, troubleshoot failures, and ensure predictable turnaround and reproducible yields.

Early-career internship to deliver measurable value on an automated wet-lab platform. Work areas include software/ML, lab automation, biology, or operations; interns own real problems, build projects, debug instruments, develop data pipelines, and evaluate models under senior mentorship.

Lead development, validation, and automation of HPLC and LC-MS analytical methods for antibodies and biologics. Turn bespoke assays into high-throughput, productized characterization services, partner with automation and software teams to build data pipelines, set QC/acceptance criteria, troubleshoot instruments, and advise customers on data interpretation.

Own the launch and operation of Adaptyv’s London lab and UK entity. Responsibilities include managing site fit-out, contractors, equipment, suppliers, permits, budgets, hiring the founding team, establishing finance and administrative infrastructure, overseeing customer experience, and building relationships across the UK life-sciences ecosystem.

Own customer, partner, community, and programme operations for Adaptyv’s London lab. Responsibilities include customer onboarding and experiment delivery, managing strategic programmes and partnerships, coordinating milestones and stakeholder updates, organising events, supporting UK marketing and communications, and building efficient operational systems. The role requires strong organisation, clear communication, high ownership, comfort with ambiguity, AI-enabled workflows, and a life-sciences background. It is an on-site position in London supporting the lab’s 2026 launch.

The Founders Associate will build operational systems for scaling an AI-driven automated lab, handling finance, customer operations, hiring, and logistics.

As a Community Manager at Adaptyv, you will manage social presence, run the Proteinbase community, coordinate competitions, and handle community interactions.

Intern will run open-source protein design methods, design binders, build computational tools, support competitions, and contribute to open data and publications.

Build and own orchestration features in LabOS that schedule and execute experiments, convert hardware into API-controllable devices, create interfaces and APIs for real-time lab visibility, develop AI agents and tooling to automate protocol design and troubleshooting, and design scheduling systems coordinating many instruments.

Build backend systems and data pipelines to process large-scale protein characterization data, design APIs to integrate lab instruments and robotics, and collaborate with scientists and automation engineers to turn molecular biology workflows into reliable, scalable software for automated wet-lab execution.

Own reliability for a complex software+hardware automated lab: build observability, define SLOs, automate toil, harden data pipelines, run incident response, improve deploy safety, and partner with software and lab teams to keep 24/7 experiments running reliably.

First finance hire responsible for building an AI-powered, automated finance stack: forecasting, margins, pricing, close across two entities, cash and treasury, tax/VAT/compliance, investor reporting, equipment leasing, and automation. Hands-on role requiring modeling tied to lab operations, programmatic close and API-driven tooling, and collaboration with procurement and commercial teams.

Review and interpret high-throughput SPR and BLI binding data, decide deliverables or reruns, communicate results to customers, design follow-up experiments, analyze batch-level patterns with scripts, and feed issues back into the automation and software pipeline while collaborating with production, QC, and customer success.

Lead end-to-end procurement for an automated biotech lab: sourcing, negotiating, vendor qualification, inventory policy, landed cost, and automation. Build resilient supply chains, reduce protein costs, plan supply for scale, and partner with finance and science teams.

Own end-to-end hiring and build a talent function in Lausanne: define roles, run sourcing and assessment, manage work trials, hire and lead recruiters, optimize ATS (Ashby), and partner with science, automation, and engineering teams to scale hiring.

Lead a small, highly technical engineering team building software infrastructure for an automated wet lab. Own the roadmap and technical architecture across frontend, backend, data pipelines, and lab-hardware integration. Remain hands-on shipping high-leverage code, hire and grow engineers, set engineering standards, and embed AI-assisted development to accelerate delivery and reliability of production experiments.