
Job Overview
Location
Remote - USA
Job Type
Full-time
Category
Software Engineering
Date Posted
April 21, 2026
Full Job Description
đź“‹ Description
- • As a Staff Engineer - Full Stack (Node.js) at Dotmatics, you will play a pivotal role in shaping the future of scientific research by building and scaling Luma, an AI-native multimodal research platform that empowers over 2 million scientists worldwide to accelerate discovery through intelligent, data-driven workflows.
- • Day to day, you will define and drive system architecture for Node.js/TypeScript services, architect serverless and event-driven data pipelines for high-volume scientific data, ensure scalability and security of solutions, provide technical mentorship through code reviews and guidance, collaborate cross-functionally to build scientific applications on a unified data engine, and help shape intuitive user interfaces that streamline research workflows.
- • You will join a global, collaborative team of over 800 colleagues at Dotmatics, a scientist-built, science-driven company dedicated to creating the world’s most comprehensive digital science platform. The company fosters a remote-friendly, high-integrity culture where innovation thrives through customer-centricity and teamwork, with a mission to make the world healthier, cleaner, and safer.
- • In this role, you will deepen your expertise in distributed systems, cloud-native architectures, and AI-integrated software development while mentoring engineers, influencing technical strategy, and contributing to breakthroughs in life sciences R&D — positioning yourself as a technical leader in a mission-critical domain at the intersection of science and technology.
Skills & Technologies
About Dotmatics Ltd.
Dotmatics develops cloud-based scientific R&D software that enables researchers to capture, manage, analyze and share chemical, biological and materials data from discovery through manufacturing. The unified platform combines electronic lab notebooks, chemical registration, biological assay management, visualization, predictive modeling and workflow automation, supporting pharmaceutical, biotech, chemical, agrochemical and academic organizations worldwide.
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