Jobs at Adaptyv

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

The Head of QC & Analytics will ensure data integrity and quality control for protein assays, automate data pipelines, and improve analytics processes. Responsibilities include defining quality standards, collaborating with software teams, and leading investigations on assay discrepancies.