Medical Data scientist (f/m/x) for biomedical informatics and data science in Köln

We are looking for a Medical Data scientist to pursue an academic career in biomedical informatics and data science. Your tasks will be:

• Implement novel machine learning and AI methods and improve health and well-being by translating AI into the health care practice
• Contribute to the development of a research agenda for the digital transformation of healthcare services and infrastructure
• Develop innovative technologies in collaboration with national (German) medical and research data infrastructures such as the Medical Informatics Initiative (MII), and the National Research Data Infrastructure (NFDI)
• Closely collaborate with Uniklinik Köln clinics and research centers such as CIO, CECAD, and CMMC to help them to discover new insights from data
• Support data reusability, big data management for research, and multimodal data integration
• Actively take part in developing an interdisciplinary teaching curriculum for medical data scientists and develop new modules both for medical and informatics students
• Mentoring informatics master and medical doctoral students, research work, and project teams
• Contribute to publishing results at (international) conferences and journals
• Support the acquisition of new projects in the field of medical data science
• Collaborate with the other Ph.D. and Postdoc researchers within Uni Köln, in national networks, and internationally

• M.Sc. degree - preferably acquired or near-to-completion Ph.D. - in Computer Science, Medical Informatics, Information Technologies, or a related field
• Excellent track records in their academic field
• A good background in data-driven methods (e.g. machine learning, statistics, ) and/or knowledge-driven methods (e.g. logic programming, automated reasoning, expert systems)
• Good programming skills and experience
• Strong willingness to learn new technologies
• Knowledge of modern software development tools and data science practices such as continuous integration (CI), continuous deployment (CD), and containerization
• Experience or willingness to learn health care related standards (e.g. data exchange, HL7 or terminologies)
• Be independent, self-motivated, reliable, and eager to learn and solve practical challenges
• Good communication skills and eager to work as part of a research team/ interdisciplinary research teams
• Innovative, committed, and collaborative
• Good command of English and, preferably, also of German

• We offer an excellent technical infrastructure (medical data integration center) and clinical collaborations to work with real-world healthcare data,
• We promote your professional career development, with the opportunity to take part and lead initiatives in national as well as European-wide academic, research and industry consortia,
• We guide you to acquire your own research projects and lead a team of junior developers and researchers,
• Our institute promotes diversity and offers a family-friendly and modern working environment

Working at the University Hospital Cologne and the Medical Faculty means helping to shape the future - the future of medicine, of patients and, of course, your own future. You benefit from 60 clinics and institutes as well as numerous other departments and facilities and more than 12,000 jobs. The Faculty of Medicine of the University of Cologne and the University Hospital Cologne assume important social tasks in research, teaching and patient care. A close network with many university and non-university partners guarantees an internationally successful science and the excellent education of our students.

The is a newly founded and dynamic Institute at the Medical Faculty of the University of Cologne. Its mission is to support data-driven transformation in medicine and develop novel artificial intelligence technologies for personalized medicine.
You will be part of an agile, innovative and interdisciplinary team that brings together expertise from different disciplines to create synergies. You will have the opportunity to work with real-wold data and collaborate with clinicians to solve problems that can have an impact on the lives of many people.

National and international information exchange and collaboration are supported - promoting both your own career and the success of your research projects.