Vivodyne operates an automated robotics-plus-AI platform that cultivates, doses, samples, images, and multi-omics profiles thousands of lab-grown human tissues across 20+ tissue types to enable predictive therapeutic modeling.
<div class="content-intro"><h2><strong>Vivodyne creates human data before clinical trials.</strong></h2> <p>We accelerate the successful discovery, design, and development of human therapeutics by testing on large, lab-grown human organ tissues at massive scale, driving technological advancement at the convergence of novel biology, robotics, and AI. We identify and validate new therapeutic targets and de-risk new therapeutic assets by producing clinically translatable multi-omic data from our proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality. This enables us to produce more human data than all clinical trials in the U.S. combined. We’re financially backed by some of the most selective and successful venture funds, and we have already partnered with a majority of the top 10 multinational pharmaceutical companies to discover and develop better, safer drugs and dramatically reduce the burden of animal testing.</p> <p><a href="https://www.vivodyne.com" target="_blank">www.vivodyne.com</a></p> <p><img src="https://uploads-ssl.webflow.com/63ecc3195e0269612b3c70c2/65fb44cd6dd5597939714acf_job-posting-body-min%20(1).png" alt="" width="700" style="max-width: 100%;"></p></div><h2><strong>Role</strong></h2> <p>We’re looking for an exceptional Senior Full-Stack Software Engineer to work hand in hand with our Product team to build polished, high-performance web applications using React with FastAPI on the backend and Postgres as a database.</p> <p>The ideal candidate leads with deep frontend expertise in building sophisticated, stateful UIs in React/TypeScript, while bringing enough backend fluency to own features end-to-end. You'll build rich, data-dense interfaces for scientific workflows where getting the interaction design and state management right is the hard part. Additionally, the ideal candidate is an 'AI native' and uses their strong technical expertise to augment the prototyping speed provided by LLMs. You'll ship deliverables in days, not months, and have a sharp instinct for system architectures that achieve rapid delivery and robust performance.</p> <p>You will be a core contributor to shaping our next-generation biotech platform that discovers and tests new drugs on lab-grown human tissues.</p> <p>Own the building of scientific experiment design and results-monitoring tools that, together with our platform, have enabled Vivodyne to partner with a majority of the top-10 pharmaceutical companies in making better, safer cures to complex human diseases. You will be expected to deliver web applications that align with well-designed frames/user flows and product requirements that help scientists interact seamlessly with our unique datasets, robotic systems, and lab-grown tissues.</p> <p>You’ll have the opportunity to work at the cutting edge of biotech and software engineering, collaborating with teams spanning tissue engineering, robotics, and AI. You'll be working a few feet away from large precision robots, laser microscopes, and robot arms, surrounded by an exceptionally talent-dense team of experts from multiple scientific disciplines.</p> <p>You will be able to focus on building internal products and tools with incredible functionality, surrounded by sophisticated end users directly appreciative of the products you build---without needing to do integration testing for first-gen Chromebooks or handle bug reports from Fire tablets.</p> <p>While bringing a passion and exquisite skill for building and shipping high-quality applications that drive scientific discovery, you'll be involved firsthand in the advancement of human health, you'll watch thousands of human organ tissues grow before your eyes, and join an intense, fun, fast-moving team in shaping the future of human health.</p> <h2><strong>Responsibilities</strong></h2> <p><strong>Frontend-Led Full-Stack Development</strong> — Architect and build complex React/TypeScript interfaces for scientific workflow applications; own backend integration points via API design and data layer work in Postgres.</p> <p><strong>User Experience</strong> — Create clean, responsive, and user-focused interfaces that translate complex requirements into intuitive designs, establishing best practices for component architecture and state management patterns.</p> <p><strong>Code Quality & Best Practices</strong> — Write well-tested, maintainable code with a focus on scalability, performance, and cost-efficiency.</p> <p><strong>Collaboration & Communication</strong> — Work closely with scientists, engineers, and AI researchers to gather requirements, provide updates, and deliver impactful solutions.</p> <p><strong>High Velocity / AI Accelerated Development</strong> — Leverage leading language models and agentic tools like Claude Code and Codex, or similar to ship reliable code quickly; maximize prototyping and component design velocity while balancing robustness of implementations</p> <h2><strong>Requirements and Expectations</strong></h2> <h3>Technical Excellence</h3> <ul> <li>Deep expertise in React, TypeScript, and modern frontend architecture (component composition, state management, performance profiling). </li> <li>Proficient in building visually appealing, high-performance React applications.</li> <li>Strong CSS/styling architectural skills (CSS modules, Tailwind etc.)</li> <li>Strong data modeling skills for biotech applications, translating scientific needs into structured schemas.</li> <li>Comfortable in API design, schema definition, and query optimization with Postgres.</li> <li>Solid foundation in data structures, algorithms, and software architecture (CS degree preferred).</li> </ul> <h3>Accountability & Problem-Solving</h3> <ul> <li>Own full-stack development, ensuring high-quality, tested, and timely feature delivery.</li> <li>Balance speed and rigor to solve complex engineering challenges, from large-scale data ingestion to optimizing imagery metadata.</li> </ul> <h3>Collabor