Working Student/ Intern - Medical Image Analysis with AI

Company Description

Mint Medical is a global MedTech company in the field of data-driven radiology and one of the crucial pioneers of personalized medicine.

Radiology is at the center of interdisciplinary communication and presents patient cases in multimedia reports. Our mission is to specifically support radiologists in their reporting and communication and to make the data available in radiological images usable for this purpose. In this way, especially in the case of complex diseases such as cancer, informed therapeutic decisions can be made and new therapies developed to cure patients or improve their quality of life.

Therefore, university clinics, hospitals, and radiological practices as well as leading contract research organizations (CRO), pharmaceutical and biotechnological companies worldwide work with our software solutions.

What you'll do

As a working student or intern in our Research Platform team, you will explore the potential of current deep learning models for understanding medical image content and help bring these ideas closer to our medical device mint Lesion.
Your work will focus on evaluating and prototyping AI approaches for concrete use cases such as
 

• CT phase recognition (e.g. native, arterial, venous, delayed),
• general medical image description and characterization, or
• automated analysis of anatomical coverage (which body parts are contained in a scan).

You will investigate the state of the art, experiment with existing and self-trained models, and assess how well they perform on real-world radiological data. In doing so, you will contribute directly to improving our research platform and to making the daily clinical routine of physicians more efficient.
 

You will:

• work in a highly skilled and motivated team with close mentoring
• explore, implement and evaluate current deep learning models for medical imaging
• document your findings and present them to a technical and clinical audience
• get hands-on experience with real medical data in a regulated environment

What we're looking for

• Enrolled student in Computer Science, Medical Informatics, Data Science or a similar field
• First practical experience with Python and a deep learning framework (e.g. PyTorch or TensorFlow)
• Basic understanding of machine learning and neural networks, ideally with some exposure to computer vision
• Interest in the field of medical imaging and a motivation to learn
• Proficient understanding of code versioning tools like Git is a plus
• Knowledge or interest in standards and technologies such as DICOM, gRPC or FHIR is a plus
• Good command of English; German is a plus

Ready to apply? We look forward to receiving your online application including your first available start date.

Your HR Contact Person: Tatjana von Freyberg (Head of Human Resources)

Apply now