Load More

Resource Academia: Career Opportunities for 2026

Resource Academia stands as a premier global platform dedicated to empowering researchers, academics, and institutions by providing cutting-edge tools for literature discovery, collaboration, and research impact analysis. Our mission is to accelerate scientific progress by connecting the global research community with intelligent technology. As we plan for significant expansion in 2026, our hiring strategy is focused on scaling our core platforms and launching new initiatives in AI-driven research analytics and open science infrastructure. We are building teams that will directly influence how knowledge is created and shared worldwide, offering careers that blend technical innovation with a profound academic mission.

The 2026 roadmap at Resource Academia is centered on enhancing our semantic search algorithms, expanding our curated research database, and developing new collaborative workspaces for international research teams. This ambitious growth phase will create numerous job opportunities across our offices in Amsterdam, London, and Singapore, as well as remote positions globally. We are seeking individuals who are passionate about the future of scholarly communication and possess the skills to build scalable, user-centric solutions for a sophisticated academic audience. Joining our team means contributing to a platform used by millions of researchers at top universities and corporations every day.

Anticipated Job Openings in 2026

Our projected hiring for 2026 spans several critical departments, each vital to achieving our strategic objectives for the year. We anticipate robust recruitment in our engineering, data science, product management, and academic outreach divisions. These employment opportunities are designed to bolster our platform's capabilities in handling complex bibliometric data, improving user experience for systematic reviews, and fostering deeper integrations with institutional research management systems. Each role is crafted to address specific challenges in the academic resource landscape, from data interoperability to researcher workflow optimization.

In the engineering domain, key vacancies will include Machine Learning Engineers specializing in natural language processing for academic texts, tasked with improving recommendation systems and citation context analysis. Backend Developers will work on scaling our infrastructure to manage petabytes of research data, ensuring low-latency access for global users. Simultaneously, our Data Science unit will hire Research Analysts with domain expertise in scientometrics to refine our journal metrics and impact indicators, providing more nuanced insights to our institutional clients.

On the product and community side, we will be seeking Product Owners with experience in academic publishing or library sciences to guide the development of features for grant discovery and research portfolio tracking. Academic Community Managers will be crucial for engaging with faculty and librarians to understand evolving needs in digital resource management. These positions require a unique blend of technical acumen and deep empathy for the academic workflow, ensuring our solutions remain authentic and valuable to the scholarly community we serve.

Application Process and Career Development

The application journey for Resource Academia careers is a multi-stage process designed for mutual discovery. It typically begins with an initial screening of your CV and cover letter by our talent team, followed by a preliminary video call to discuss your background and interest in the academic technology sector. Successful candidates then proceed to a technical or role-specific assignment, which is often a practical problem related to our real-world challenges, such as designing a data model for research outputs or proposing an engagement strategy for a new university partnership.

Candidates who excel in the practical stage will be invited for final interviews with the hiring manager and potential cross-functional team members. We value transparency and provide clear feedback at every step. For those who join us, career development is structured yet flexible. We offer a dedicated mentorship program, an annual conference stipend for professional development, and clear pathways for advancement into leadership roles. Our culture promotes ownership and innovation, encouraging team members to publish blog posts, contribute to open-source projects relevant to our stack, and present at industry conferences like FORCE11 or the STM Annual Conference, embedding them deeply into the community we support.