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Vega Research Labs specializes in the research and development of innovative technological solutions for the biomedical and pharmaceutical industries. The company’s core business focuses on designing advanced medical devices and implementing clinical data analysis systems powered by artificial intelligence. Vega Research Labs partners with industrial and academic entities to transform scientific discoveries into innovative products, enhancing diagnosis, monitoring, and treatment of diseases. Its multidisciplinary approach and ongoing commitment to technological innovation enable the company to deliver cutting-edge, customized solutions, contributing to the advancement of the healthcare sector.
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Working at Vega Research Laboratories means joining a high-tech, research-driven team born as a spin-off from the University of Genoa. The company is made up of researchers, engineers, and developers working on artificial intelligence, machine learning, extended reality, and blockchain. The environment is informal yet rigorous, with a strong focus on experimentation, code quality, and scientific validation. Projects are hands-on and custom-built for sectors like healthcare, mobility, and Industry 4.0. Work is fast-paced but flexible, with hybrid opportunities and active involvement in applied research.
Vega offers the chance to work with cutting-edge technologies that have a tangible impact. Being part of Vega means contributing to European and industrial research projects (e.g., Horizon, PNRR), while maintaining strong ties to academia. Team members grow in a multidisciplinary environment, collaborating with professors, international partners, and industry clients. It’s the right place for innovators who want to prototype, experiment, and deploy real-world solutions. Growth is continuous, supported by training, workshops, and access to advanced tools and datasets.
Careers at Vega are built on technical expertise and individual initiative. There are no rigid tracks: growth is project-driven and based on responsibility and impact. Roles range from software developers and data scientists to project managers and industrial researchers. The structure is flat, promoting autonomy and full-cycle involvement from design to deployment. Performance is assessed continuously, with attention to problem-solving, innovation, and scientific contribution. The team is young, international, and growing.
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