Research Associate in the BMDNow Project

...be right in the middle of it

We are looking for your support for collaboration in the research project BMDNow in the Klinik für Radiologie und Nuklearmedizin at the earliest possible date. The position is initially limited to 2 years. Publications from the project are planned. Additionally, a doctorate in the Faculty of Medicine is possible and will be supported.

BMDNow is developing software as a medical device (Class IIa) for the retrospective determination of bone mineral density (BMD) in the spine from existing CT data ("phantomless QCT"). The goal is a higher detection rate of osteopenia and osteoporosis. The core of the software is the automatic detection and segmentation of the vertebral bodies as well as the sub-segmentation of the areas relevant to bone density. Additionally, the software detects vertebral fractures and embedded foreign material. The aim is commercial exploitation as a medical device, for example, through a later university spin-off.

Look forward to working in a compact, largely autonomous team consisting of two radiologists, a Lead Regulatory Affairs, and one employee for project management and IT integration. In addition, there is support from medical staff and scientific assistants. Model development will lie largely in your hands.

Your tasks:

• Further development and training of the Deep-Learning models in PyTorch
• Construction and maintenance of reproducible training, evaluation, and data pipelines
• Quantitative validation against expert-annotated reference standards
• Publication of results and provision of methodological evidence for regulatory documentation

...is your profile required

• You have a successfully completed university degree (Master / Diplom) in Medical Informatics, Computer Science, Physics, Data Science, or a related field. Alternatively, you have completed medical studies with a quantitative focus.
• You possess very good Python skills and have already been able to gain practical experience with PyTorch.
• You have experience with medical image data and common formats (DICOM, NIfTI), pre- and post-processing of 3D image data, as well as common architectures for semantic segmentation, classification, and landmark detection.
• You are characterized by a careful and methodologically clean way of working.
• Your English skills are very good in spoken and written form. Furthermore, German language skills are an advantage.
• You enjoy working in a small, motivated team.
• Due to legal regulations, valid proof of measles immunity / measles vaccination is required.

...is what we offer you

• Collective agreement TV-G-U, E13
• 30 days of vacation, 40 hours / week, annual special payment, company pension scheme
• Participation in a scientifically and clinically relevant research question with a clear translation path into a medical device
• Modern CT devices, phantom-calibrated reference data, and GPU resources
• Free Landesticket Hessen
• Mobile working possible upon arrangement
• University hospital campus, canteen, cafés
• Work-life balance, part-time options
• Health promotion
• Daycare places, holiday care (info from Familienservice)
• Insights: Instagram, YouTube, LinkedIn
• FAQ´s for new employees

Become a part of our team!

Contact: Priv.-Doz. Dr. med. habil. Leon David Grünewald Telephone: 069 / 6301-86311 Mail: gruenewald@med.uni-frankfurt.de* Application deadline: 27.09.2026**

With this advertisement, we address applicants of all genders. Women are underrepresented in these positions at Universitätsmedizin Frankfurt. Therefore, applications from women are particularly welcome. Applicants with severe disabilities will be given preferential consideration if they have equal personal and professional suitability.