Intern / Thesis - Medical Image Analysis - Heidelberg, Deutschland - Mint Medical GmbH

Mint Medical GmbH

Geprüftes Unternehmen

Heidelberg, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

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.

Job Description:

In consideration of your personal interests, you will face exciting tasks in the following areas:

(Semi-)automated methods for segmentation of structures on CT / MRI images, as well as image registration / fusion
Integration of existing algorithms into the mint Lesion platform
Clinical validation in cooperation with medical partners

Qualifications:

Studies in mathematics, IT, physics or similar disciplines
Strong affinity for objectoriented software development
First experiences in image processing (preferable)
Knowledge about machinelearning (beneficial)
Independent and goaloriented working style
Very good communication skills
Innovativeness
Available for at least five months
Advanced English skills

Additional Information

Gain firsthand insights into a dynamic medtech company
Work deeply involved in product development and be part of a diverse and ambitious team
Take over responsibility and work independently with lots of creative possibilities

Contact person:
Daniel Sypli