Data Scientist (f/m/d)

Universitätsmedizin Göttingen; Göttingen; Vor Ort; EUR 52.000 - 72.000; Vollzeit

Zusammenfassung

Universitätsmedizin Göttingen's Center for Digital Surgery is a research hub focusing on Surgical AI and Robotics, connecting methodological work with clinical application.

The team aims to make surgery intelligent by leveraging multimodal data and collaborating with clinicians to translate findings into demonstrators for the operating room.

Qualifikationen

• Master’s degree in biomedical engineering, data science, computer science or similar field.
• 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 Python.
• Experience in Medical Image Analysis
• Deep Learning, with emphasis on video analysis
• R&D in industry is a plus

Aufgaben

• Perform applied research in the field of intra-operative assistance systems utilizing laparoscopic video streams
• Design, implement and test image analysis pipelines for anatomical landmark recognition
• Perform research on efficient and effective deep learning architectures for object detection or segmentation in surgical videos
• Develop and validate concepts for an assistance system with real clinical value in close collaboration with clinical experts
• Collaborate closely with industrial partners to translate your findings towards a product
• Co-supervise student researchers

Kenntnisse

Python

Machine learning

Deep learning

Video analysis

Medical image analysis

Team collaboration

Ausbildung

Master’s degree in biomedical engineering, data science, computer science

Tools

TensorFlow

PyTorch

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.

Your tasks

• Perform applied research in the field of intra-operative assistance systems utilizing laparoscopic video streams
• Design, implement and test image analysis pipelines for anatomical landmark recognition
• Perform research on efficient and effective deep learning architectures for object detection or segmentation in surgical videos
• Develop and validate concepts for an assistance system with real clinical value in close collaboration with clinical experts
• Collaborate closely with industrial partners to translate your findings towards a product
• Co-supervise student researchers

Your qualifications

• 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
  • Deep Learning, with special emphasis on video analysis
  • R&D in industry

We offer

• 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