Full-Stack Software Engineer

Human data before the clinic

Vivodyne accelerates the successful discovery, design, and development of human therapeutics through the convergence of novel biology, robotics, and AI. Our platform enables customers to massively de-risk drug candidates by testing them against functional, lab-grown, human organs and multi-organ systems. We conduct preclinical discovery and clinical development campaigns to generate new therapeutics and clinical strategies from these proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality through automation and machine learning. We're financially backed by some of the most selective and successful venture funds, and several "top 10" global pharmaceutical innovators have already partnered with us to strengthen and speed their therapeutic pipelines.

To learn more visit us at www.vivodyne.com.

Role

We are seeking a high-end, exceptional Full-stack Software Engineer to develop a polished front-end web application using React and multiple back-end databases including Postgres , MongoDB , and AWS DynamoDB . You will be a core contributor in shaping our next-generation biotech platform-enabling high-throughput laboratory automation, complex data modeling, and advanced imaging capabilities. You will be expected to deliver beautiful, functional web applications that help scientists interact seamlessly with our unique datasets, robotics systems, and biologically rich models.

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 bring strong experience in both front-end and back-end development, a passion for data modeling in the biotech domain, and the proven ability to deliver aesthetically refined and powerful interfaces that help drive scientific discovery.

Responsibilities

Develop and Maintain Full-stack Applications Use React to create a polished and intuitive web interface, while managing robust, scalable back-end solutions using Postgres, MongoDB, and AWS DynamoDB.

Deliver Beautiful and Functional User Experiences Craft visually appealing, user-focused solutions. Translate complex requirements into clean, responsive, and well-organized UIs.

Data Modeling in Biotech Collaborate with scientists, biologists, and AI experts to design and implement effective data models that handle massive, high-dimensional datasets-encompassing tissue-engineering, experimental dosing protocols, imagery, robotics planning, and multi-omics data.

Integration with High-Throughput Laboratory Automation Build interfaces and pipelines that interact with laboratory automation systems, enabling precise data capture, workflow orchestration, and device coordination at scale.

Support Robotics Applications Contribute to software modules that interface with robotics platforms, adding features for real-time data monitoring, device control, and image annotation.

Imagery Rendering and Annotation Implement or integrate advanced visualization tools that render large-scale 2D / 3D biomedical images. Build annotation features that help scientists identify, classify, and track cellular or tissue-level features.

Code Quality and Best Practices - Uphold rigorous coding standards, write well-tested and maintainable code, and contribute to design discussions with a keen eye for scalability, performance, and cost-effectiveness.

Collaboration & Communication - Work directly with cross-functional stakeholders-from tissue engineers to AI researchers-to understand requirements, gather feedback, and deliver high-impact features. Provide clear updates on development timelines and technical decisions.

Continuous Improvement - Embrace and foster a culture of operational excellence, proactively identifying opportunities to improve development workflows, toolchains, and data pipelines. Leverage cloud computing platforms (primarily AWS) to optimize resource usage and performance.

Requirements and Expectations

Technical Excellence

• Passion for Data Modeling in Biotech You enjoy translating unique scientific needs into well-structured database schemas and have a curiosity for solving complex, real-world biotech problems.
• Front-end Mastery You've built React applications that are both visually stunning and robust, using modern frameworks, libraries, and best practices.
• Back-end Expertise You are comfortable designing and implementing APIs, defining schemas, and handling complex queries in Postgres, MongoDB, and AWS DynamoDB.
• Computer Science Background You have a strong foundation in data structures, algorithms, and software architecture. A CS degree is strongly preferred, though candidates with equivalent experience will be considered.

Accountability

Problem Solving

Collaboration and Communication

Delivering Results

Architecture and Design

Leadership & Influence

Qualifications

If you're excited about harnessing cutting-edge software development to transform drug discovery and human health-apply to join our passionate, cross-functional team at Vivodyne!

San Francisco pay range

230,000-$255,000 USD

Salary : $230,000 - $255,000