Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.

We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting?

Then come and join our global team as Clinical AI Research Radiologist (f/m/d) to contribute your clinical expertise in thoracic imaging and help build the next generation of AI solutions for radiology.

Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours.

Even more flexibility? Mobile working from abroad is possible for up to 30 days a year under certain conditions and in selected countries.

This position is full-time or part-time with a minimum of 30h/week.

Your tasks and responsibilities:

• You contribute your clinical expertise in thoracic imaging to help shape the requirements for AI solutions in medical imaging applications.
• You define clinically relevant imaging findings, diagnostic criteria, and reporting standards for AI systems, and work together with AI scientists and engineers to translate clinical requirements into algorithm specifications.
• You review and curate imaging datasets for the training, validation, and testing of AI systems.
• You annotate and validate imaging findings, including pulmonary nodules, lung cancer, interstitial lung diseases, emphysema, pulmonary embolisms, and other thoracic pathologies.
• You support the development of clinical ground-truth datasets and annotation guidelines.
• You evaluate the results of AI algorithms and contribute to performance benchmarking against radiological standards.
• You participate in clinical validation studies as well as retrospective and prospective evaluations of AI tools.
• You support the definition of clinical performance metrics such as sensitivity, specificity, ROC curves, and reader study protocols, and contribute to collaboration with academic and clinical partner institutions.
• You contribute to scientific publications, conference presentations, and internal research initiatives in the field of AI in thoracic imaging.

To find out more about the specific business, have a look at https://www.siemens-healthineers.com/products-services

Your qualifications and experience:

• You have completed a degree in human medicine and have completed specialist medical training with a specialization in radiology, board certified in the EU.
• You have many years of professional experience in reading thoracic CT scans and diagnosing thoracic diseases; ideally, you also have experience with lung cancer screening programs and AI-supported reading workflows.
• You have an interest in artificial intelligence, machine learning, and clinical data science; experience in research, clinical studies, or handling imaging datasets is an advantage.
• Ideally, you are familiar with radiological reporting standards and structured reporting, and you have experience contributing to clinical validation studies or regulatory submissions.
• Preferably, you can demonstrate a scientific publication record in thoracic imaging or AI in radiology.
• Experience in image data annotation or dataset curation, as well as collaboration with AI development teams or medical imaging software companies, is desirable.

Your attributes and skills:

• You are fluent in English for business negotiations and have very good German language skills.
• You have strong communication skills and enjoy working in interdisciplinary teams.
• You stand out with good presentation skills and are passionate and enthusiastic about contributing to innovations at Siemens Healthineers.
• You are willing to travel occasionally for business purposes (10%).
• In addition, you impress us with a strong affinity for IT and a passion for digitalization and AI topics.