Data Engineer (f/m/d)

Universitätsmedizin Göttingen I UMG; Göttingen; Vor Ort; EUR 55.000 - 90.000; Vollzeit

Benefits dieser Stelle

State-of-the-art equipment

Intensive mentoring and networking

Zusammenfassung

The Center for Digital Surgery at Universitätsmedizin Göttingen (UMG) fosters research in Surgical AI and Robotics, translating multimodal clinical data into intelligent, image-guided assistance. The team collaborates with clinicians to move methodical research from lab setups toward operating room demonstrations.

Researchers contribute to data pipelines, image analysis, and clinical demonstrators while mentoring student researchers and partnering with industrial partners to deliver real-world

Qualifikationen

• Master’s degree in biomedical engineering, data science, CS or similar field.
• Very good programming skills, preferably experience with ML/DL in Python.
• Ability to learn and grow within an interdisciplinary team.
• Organizational and team skills, flexibility, open-mindedness and good communication.
• High intrinsic motivation with a passion for research and innovation.

Aufgaben

• Perform applied research in intra-operative assistance systems using laparoscopic video streams.
• Design, implement and test data pipelines to collect and handle surgical video data at scale.
• Develop and validate concepts for an assistance system with clinical value with clinicians.
• Implement automatic image analysis pipelines for object detection and ROI segmentation on laparoscopic videos.
• Collaborate with industrial partners to translate findings toward a product.
• Co-supervise student researchers.

Kenntnisse

Python programming

Machine learning

Deep learning

Research mindset

Team collaboration

Communication skills

Open-mindedness

Ausbildung

Master's degree in biomedical engineering, data science, CS

Jobbeschreibung

The Center for Digital Surgery is a research hub on Surgical AI and Robotics, with a strong focus on bridging the gap between methodical research and its clinical application.

The research group of Prof. Dr. Hagenah aims at „making surgery intelligent“ by leveraging multimodal data, e.g. intra-operative as well as pre-operative images, biosignals and electronic health records, to build AI-driven and robotic surgical assistance systems. Since the Center for Digital Surgery is part of the Department for General, Visceral and Pediatric Surgery and closely related to the Göttingen School of Surgery, we are working on closing the loop from clinical data collection over methodological research and proof-of-concept-studies in lab setups to the application of clinical demonstrators in the operating room.

• Perform applied research in the field of intra-operative assistance systems utilizing laparoscopic video streams
• Design, implement and test data pipelines to collect and handle surgical video data within the operating room at scale
• Develop and validate concepts for an assistance system with real clinical value in close collaboration with clinical experts
• Implement automatic image analysis pipelines for object detection and ROI segmentation on laparoscopic videos
• Collaborate closely with industrial partners to translate your findings towards a product
• Co-supervise student researchers

• Master’s degree in biomedical engineering, data science, computer science or similar field of study
• High intrinsic motivation with a passion for research and innovation
• Ability to continuously learn and grow within an interdisciplinary team
• Organizational and team skills, flexibility, open-mindedness and communication skills
• Very good programming skills, preferably experience with machine learning/deep learning using Python
• Experience in one or more of the following fields is a plus:

Medical Image Analysis Data Engineering for machine learning applications R&D in industry

• A challenging workplace full of opportunities in a multi-disciplinary, cooperative team
• The unique opportunity to translate your technical research to the clinical application with minimal obstacles
• A lot of room for creative freedom and shaping your optimal work environment together
• State-of-the-art equipment
• Support of personal advancement via intensive mentoring, promotion of networking, and mental as well as practical support in research activities through a team-oriented mindset