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AMBU A/S · Ballerup · 23 Jul 2026

Student Assistent, Algorithms

Data / BI Analyst Deep learning

Student Assistent, Algorithms Job Details | Ambu

Student Assistent, Algorithms

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Student Assistent, Algorithms

City:

Ballerup

Country/Region:

Denmark

State:

Business Area:

R&D

Department:

Algorithms

Employment Type:

Part-time

Req ID:

10341

Ambu A/S i currently looking for a Student Assistant to join our Algorithms team in Ballerup.

Are you a student in computer science/engineering or medicine? Do you have an interest in AI and Deep Learning? Do you want to kick-start your career by joining a leading Medical Devices company?

Then this might be your defining moment. Apply today and join us as our new Student Assistant, Data Annotation.

At Ambu, we are passionate about applying deep learning to medical imaging to facilitate novel and effective clinical workflows. We have a strong business and supportive management to back us up, and we believe that we are in a unique position to support doctors in ways that have not been possible before.

The Position

To expand Ambu’s Endoscopy Artificial Intelligence team, we are currently looking for a student to help annotate endoscopic videos and images. Consistent, high-quality data is the foundation of successful artificial intelligence algorithms, and we need your help making this happen. You will work with real-world medical data, performing annotation, and quality assessment alongside the engineers of the team.

For each task, you will receive relevant training. This means that you will be equipped with the relevant knowledge within the medical field, including anatomy, pathology, and the handling of the endoscopes. With this knowledge you will work structured, consistent, and detail-oriented to process the data used for artificial intelligence development. Your tasks will include annotation, quality assessment, and coordinating with other student workers and engineers.

Key responsibilities

Annotating data to match the wanted outcome of the deep learning applications

Quality assurance of data

Compare medical imaging data to match anatomical or pathological literature descriptions

Identify outliers and inconsistencies in datasets

Suggested candidate profile

We recognize that skills and experiences can be earned in many different ways, and we understand that the best fit for the role cannot fully be described on paper. However, we imagine you are:

A student within computer science/engineering or medicine

Comfortable working with computers and digital tools

Proficient in English, both written and spoken

Nice to have:

Knowledge of AI and Deep learning

Knowledge about human anatomy, pathology, and physiology

Interest to work with medical imaging data

Ability to work structured, detail oriented, and efficient

The role is primarily flexible and can be performed remotely. Occasional on site presence at Ambu’s headquarters in Ballerup may be expected to support collaboration with the AI engineering team, depending on project needs and capacity.

We expect you to work approximately 10 hours per week on average. Please note that you will be expected to sign a Non-Disclosure Agreement (NDA).

You can get more information about this student position by contacting the AI Team Manager, Lee Lassen (). If this opportunity has sparked your interest, we encourage you to apply as soon as possible and no later than:

01/09-2026

Ambu - a visionary and international workplace where your efforts matter

Ambu is a company that expands rapidly and has ambitious growth targets. We meet these targets through interdisciplinary teamwork between motivated and highly skilled employees. Your contributions and efforts are crucial to our success and by joining us you will get the opportunity to work in an international head office with an informal working environment.

We offer great opportunities for personal development. Furthermore, we offer a wide range of professional, social and financial employee benefits in addition to exciting job challenges and continuous professional and personal development.

About Ambu Ambu has been bringing the solutions of the future to life since 1937. Today, millions of patients and healthcare professionals worldwide depend on the efficiency, safety and performance of our single-use endoscopy, anaesthesia, and patient monitoring solutions. We continuously look to the future with a commitment to deliver innovative quality products that have a positive impact on patient care and the work of healthcare professionals. Headquartered near Copenhagen in Denmark, Ambu employs approximately 4,500 people in Europe, North America and the Asia Pacific.

For more information, please visit ambu.com or follow us on LinkedIn.

Apply now

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