Responsibilities
Designing, developing, and maintaining complex applications using React (front end) and Node.js (back end).
Ensuring seamless integration between client-side and server-side components to deliver responsive, scalable, and secure web applications.
Developing user interfaces for a large web monolith and small to moderate micro-frontends and services, maintaining high standards for accessibility, performance, and usability.
Implementing and optimizing UI components that align with enterprise design systems and technical standards.
Lead applications through the entire software development life cycle (SDLC) — from requirements gathering and system design to deployment and maintenance.
Ensure high-quality releases through continuous integration, code reviews, and automated testing.
Identify opportunities to automate or scale recurring engineering work — building internal tools, AI-assisted agents/skills/plugins, or workflow automation — to increase quality and throughput for yourself and the broader team.
Elsevier employs approximately 10,000 people worldwide, including more than 2,500 technologists, and has supported researchers and healthcare professionals for more than 140 years. Today, Elsevier combines deep domain expertise with technology, data, analytics, and AI to create solutions that help advance science, improve healthcare, and drive better outcomes.
Beyond Health Markets, Elsevier's data and technology platforms—including ScienceDirect, Scopus, SciVal, ClinicalKey, and Sherpath—support research management, R&D performance, clinical decision support, medical education, and nursing education. Our users rely on more than 2,800 journals, 46,000+ eBook titles, and leading reference works such as Gray's Anatomy, providing an extraordinary foundation of trusted information on which our data and AI capabilities are built.
As part of RELX, Elsevier is a global provider of information-based analytics and decision tools. This combination of proprietary content, massive datasets, domain expertise, and advanced technology creates a unique environment for Data Scientists to work on problems where AI and machine learning can have a tangible impact on science, healthcare, and patient outcomes.


U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates.

If performed in Maryland, the base pay range is $90,900 - $151,700.If performed in New Jersey, the base pay range is $102,333 - $163,467.

This job is eligible for an annual incentive bonus.





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