Data Engineer (f/m/d)

GIZ-Nord; Göttingen; Vor Ort; EUR 52.000 - 68.000; Vollzeit

Benefits dieser Stelle

Mentoring

Networking support

Creative freedom

Research support

Zusammenfassung

The University Medical Center Göttingen is seeking a researcher for the Center for Digital Surgery, focusing on intra-operative assistance systems and ML-based image analysis. Work includes building scalable data pipelines for surgical video data and developing AI-driven surgical assistance concepts in close collaboration with clinical experts.

The role emphasizes translating research into clinical demonstrators, with opportunities for mentoring and interdisciplinary growth within a

Qualifikationen

• Master’s degree in biomedical engineering, data science, computer science or similar field.
• Very good programming skills, preferably Python.
• High intrinsic motivation with a passion for research and innovation.
• Ability to continuously learn and grow within an interdisciplinary team.
• Strong organizational and team skills, flexibility and communication.

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 assistant system with real clinical value in collaboration with clinical experts.
• Implement automatic image analysis pipelines for object detection and ROI segmentation on laparoscopic videos.
• Collaborate with industrial partners to translate findings towards a product.
• Contribute to translational research from data collection to clinical demonstrators.

Jobbeschreibung

The Klinik für Allgemein-, Viszeral- und Kinderchirurgie of the University Medical Center Göttingen is looking for a new position for the earliest start date

full time , initially limited to 1 year, with the option to extend
Remuneration according to TV-L

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
• 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:

• 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

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
• 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

The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and its subsidiaries are one of the largest employers in the region. Our clinics and institutes stand for high-quality patient care, excellent research, modern teaching and transfer of innovative technology.
Göttingen as a city of science is located in the center of Germany and the University Medical Center Göttingen is integrated into an attractive network of university and non‑university scientific institutions.

Our goal as University Medical Center Göttingen is professional equality for all genders. We strive to equalize the gender ratio in areas where there is underrepresentation. The University Medical Center Göttingen is particularly committed to the professional participation of severely disabled people and therefore welcomes applications from severely disabled people. In the case of equal suitability, applications from severely disabled persons will be given preferential consideration in accordance with the relevant regulations. We kindly ask you to indicate a disability/equal status in your letter of application in order to safeguard your interests.