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Company Description QED Science is an AI-driven company dedicated to surfacing the strongest scientific work and recognizing the researchers behind it. The company builds tools that critically evaluate scientific outputs while minimizing the impact of author reputation, institutional prestige, and publication venue. Its technology analyzes science at the level of individual claims, dramatically accelerating evaluation compared to traditional peer review. The same platform supports pharma and biotech R&D teams in making better investment and project decisions. QED Science is trusted by more than 10,000 laboratories across 1,500 institutions in over 70 countries.
Role Description The Full Stack Developer will design, build, and maintain web applications that power QED Science’s AI-driven products. This full-time, on-site role in Israel involves implementing scalable backend services, developing responsive front-end interfaces, integrating APIs, and ensuring secure, performant data flows. The developer will collaborate closely with data scientists, product managers, and other engineers to turn complex scientific workflows into intuitive user experiences. Day-to-day responsibilities include writing clean, testable code, reviewing peer code, participating in architecture discussions, and contributing to deployment and monitoring processes. The role also involves troubleshooting production issues, continuously improving system reliability, and supporting new feature development from concept to release.
Requirements
Strong proficiency in modern front-end development (e.g., JavaScript/TypeScript, React, Vue, or similar frameworks) and building responsive, accessible user interfaces.
Experience with backend development (e.g., Node.js, Python, or similar languages), RESTful or GraphQL APIs, and designing scalable server-side architectures.
Knowledge of databases and data storage (e.g., SQL and NoSQL systems), including schema design, query optimization, and secure data handling.
Hands-on experience with cloud platforms and DevOps practices (e.g., AWS, GCP, or Azure; Docker, CI/CD pipelines, monitoring and logging tools).
Solid understanding of software engineering fundamentals, including testing (unit, integration), version control (Git), and code review best practices.
Ability to collaborate in cross-functional teams, communicate clearly, and translate product requirements into technical solutions.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience in AI, data-intensive applications, or scientific/healthcare domains is an advantage; familiarity with security and privacy best practices is beneficial.