Intern Tube Classification and Characterization

Wondering what’s within Beckman Coulter Diagnostics? Take a closer look.

At first glance, you’ll see that for more than 80 years we’ve been dedicated to advancing and optimizing the laboratory to move science and healthcare forward. Join a team where you can be heard, be supported, and always be yourself. We’re building a culture that celebrates backgrounds, experiences, and perspectives of all our associates. Look again and you’ll see we are invested in you, providing the opportunity to build a meaningful career, be creative, and try new things with the support you need to be successful.

Beckman Coulter Diagnostics is proud to work alongside a community of six fellow Diagnostics Companies at Danaher. Together, we’re working at the pace of change to improve patient lives with diagnostic tools that address the world’s biggest health challenges.

The Intern – Tube Classification and Characterization for Beckman Coulter Diagnostics is responsible for supporting the development team with investigation, evaluation, and proof-of-concept implementation of approaches to enhance and improve tube classification and characterization.

This position is part of the Software Development Team located in Munich and will be on-site. At Beckman Coulter, our vision is to relentlessly reimagine healthcare, one diagnosis at a time.

You will be a part of the SW Architecture Group and report to the Senior Manager SW Architecture responsible for DxA Lab Automation Tube Classification and Characterization Algorithms. If you thrive in a fast paced role and want to work in a world-class R&D organization—read on.

In this role, you will have the opportunity to:

·        Investigate and evaluate state-of-the-art approaches for pattern recognition and object classification.

·        Contribute to proof-of-concept implementations for selected approaches.

·        Perform tests in simulation and at HW prototypes.

·        Get involved in the team's experiments and conceptual discussions.

The essential requirements of the job include:

·        Studying computer science (or related field) with background in image processing, machine learning, artificial intelligence (preferably master studies)

·        Solid programming skills, preferably in C#, C++ or python.

·        Interest in medical devices and laboratory automation systems.

·        Willingness to work with HW prototypes.

·        Excellent verbal and written English communication skills.

At Danaher we bring together science, technology and operational capabilities to 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. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit .

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

At Danaher we bring together science, technology and operational capabilities to 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. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit .

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Job Summary
Job number: R1264046
Date posted : 2024-04-08
Profession: Intern
Employment type: Full time