Working Student/ Intern - Medical Image Analysis with AI

Heidelberg

Part-time

Working Student

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

Why Snke

Meaningful work with a lasting impact on medical technology
Flexible working hours compatible with your studies, with the possibility of Home Office
Insight into the development of a real medical device
A friendly team and regular after-work, team & company events
The opportunity to base your thesis (Bachelor's or Master's) on your work with us
Individual development opportunities and mentoring

Contact person

Tatjana von Freyberg

Über uns

Mit Hauptsitz in München gestaltet Snke die Zukunft der digitalen Gesundheitsversorgung durch skalierbare, datengetriebene Innovationen auf Basis von KI und Big Data. Mehr als 350 Expert:innen aus den Bereichen Healthcare-IT, Visualisierung, Simulation, Data Science und Machine Learning arbeiten bei Snke an Lösungen, die leistungserbringende Einrichtungen, Fachgesellschaften, Patient:innen und Healthtech-Unternehmen befähigen, die datengestützte Patientenversorgung voranzutreiben. Neben dem Hauptsitz in München beschäftigt Snke weitere Kernteams in Chicago, Heidelberg und Tel Aviv. Snke stärkt damit die globale Zusammenarbeit, um intelligente, integrative und ganzheitliche Technologien zu entwickeln und befähigt Healthtech-Anbieter datengetriebene Innovationen zu skalieren.