Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Radiometer, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.
You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.
At Radiometer, life comes first. Our vision is to improve global healthcare with reliable, fast, and easy patient diagnoses. We’re a team that celebrates diverse ideas and continuous improvement. Here, you’ll find a place to grow and make a real impact, with your unique perspective driving us forward in improving patient care. At Radiometer, our vision is to improve global healthcare with reliable, fast, and easy patient diagnoses.
Learn about the Danaher Business System which makes everything possible.
We are looking for a Student Assistant – R&D, Data & Analytics to sit in Radiometer’s Data & Analytics team within Digital Solutions R&D in Brønshøj, Copenhagen.
In this role, you will have the opportunity to:
- Gain hands-on experience using data, analytics, AI, and digital solutions to support healthcare innovation and smarter patient diagnoses.
- Support data and analytics initiatives across R&D, including data science and analytics projects, data preparation, data quality reviews, documentation, testing, user enablement, Power BI dashboard development, and stakeholder or community activities.
- The role offers exposure to real-world applications of data science, analytics, AI, machine learning, and digital solution development in a regulated healthcare environment.
The essential requirements of the job include:
- A relevant Bachelor’s or Master’s degree such as data science, life science, computer science, engineering, statistics, business analytics, or a related field
- An interest or experience in data analytics, reporting, Power BI, structured datasets, data engineering concepts
- Clear communication in English.
The role offers hands-on learning, mentorship from data scientists, engineers, and R&D professionals, exposure to a global MedTech organization, flexible working arrangements around studies and exams, and competitive hourly compensation. The expected workload is approximately 15 hours per week, and the role reports to the Senior Manager, Data & Analytics, Digital Solutions R&D.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.