Data Scientist (f/m/d)

GIZ-Nord; Göttingen; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Benefits dieser Stelle

Mentoring and career development

Flexible work environment

Opportunity to translate research to a

Zusammenfassung

University Medical Center Göttingen is seeking a Data Scientist (f/m/d) for the Center for Digital Surgery. The role focuses on applying AI to intra-operative video analysis and developing assistive surgical systems in close collaboration with clinical experts.

The position is full-time and initially limited to 1 year with the option to extend, with remuneration according to TV-L. Strong programming skills, ML/DL experience, and a biomedical engineering or related background are required.

Qualifikationen

• Master's degree required in a relevant field.
• Strong programming skills in Python and ML/DL.
• Experience with image analysis of medical data is a plus.

Aufgaben

• Perform applied research in intra-operative assistance systems using laparoscopic video streams.
• Design, implement and test image analysis pipelines for anatomical landmark recognition.
• Perform research on deep learning architectures for object detection or segmentation in surgical videos.
• Develop and validate concepts for an assistive system with clinical value in collaboration with clinicians.
• Collaborate with industrial partners to translate findings toward a product.

Kenntnisse

Python

Machine learning

Deep learning

Image analysis

Biomedical data

Ausbildung

Master's degree in biomedical engineering, data science, computer science or similar

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

Data Scientist (f/m/d)

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 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
• 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
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
• 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.