Medical TechnologyInformation TechnologyComputer SciencesResearch Fellow, Research Assistant, Research AssociateNorth Rhine-WestphaliaUniversity Hospital
Medical Data scientist (f/m/x) for biomedical informatics and data science
Published
2024-03-28
Universitätsklinikum Köln
Köln
Medical Data scientist (f/m/x)
for biomedical informatics and data science Insitute of Biomedical Informatics
as soon as possible
full-time; initally limited for 2 years (third-party funded project)
Your salary will be based on TV-L
Your tasks
We are seeking for a potential candidate interested in joining the Insitute of Biomedical Informatics at the University Hospital of Cologne. The candidate should demonstrate exceptional proficiency and academic achievements in data computer science, coupled with a strong understanding of machine learning and/or expertise in domains related to extensive health data, such as genomics and imaging data analysis. Desired skills also encompass familiarity with scientific programming, data computation, statistical analysis, as well as a grasp of mathematical methods and numerical analysis. Candidates will be tasked with tackling machine learning challenges and data science computing assignments as part of the selection process.
A successful candidate will have an opportunity to join various projects, among others to German National Research Data Infrastructure for Personal Health Data (NFDI4Health) and 'Better real-world health-data distributed analytics research platform' (BETTER) projects. The BETTER project is developed under the Horizon Europe Tools and Health (HORIZON-HLTH-2023-TOOL-05) framework. Within BETTER project, a succesful candidate will engage in evidence-based research focusing on Paediatric Intellectual Disability, Inherited Retinal Dystrophies, and Autism Spectrum Disorders. Furthermore, the project will explore, research, and validate innovative digital tools, technologies, and methodologies within these medical areas, applied in real-world data contexts.
During this project your responsibilities could range among various tasks:
Implement novel machine learning and AI methods and improve health and well-being by translating AI into the healthcare practice
Contribute to the development of a research agenda for the digital transformation of healthcare services and infrastructure
Develop innovative technologies in collaboration with international partners from Horizon projects, and from research data infrastructures such as the Medical Informatics Initiative (MII), and the National Research DataInfrastructure (NFDI)
Closely collaborate with Uniklinik Köln clinics and 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
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 EU networks
Your Profile
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 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
Good communication skills and eager to work as part of a research team/interdisciplinary research teams
Good command of English
Our Offer
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 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
We offer flexible home-office hours
Your future with us
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.
Your future in detail
We are seeking for a potential candidate interested in joining the Insitute of Biomedical Informatics at the University Hospital of Cologne. The candidate should demonstrate exceptional proficiency and academic achievements in data computer science, coupled with a strong understanding of machine learning and/or expertise in domains related to extensive health data, such as genomics and imaging data analysis. Desired skills also encompass familiarity with scientific programming, data computation, statistical analysis, as well as a grasp of mathematical methods and numerical analysis. Candidates will be tasked with tackling machine learning challenges and data science computing assignments as part of the selection process.
Within the scope of the assigned responsibilities, a successful candidate will engage in numerous collaborative training events with Europe's leading industrial partners in medical data software design for health data analysis. These experiences will offer invaluable opportunities for interaction and learning for a potential candidate.
Applications from female candidates are expressly welcome and will be given priority in the event of equal suitability, competence and professional performance.
People with disabilities are welcome to apply and will be treated preferentially in the event of equal suitability and qualification.
The position is suitable for staffing with part-time employees.
Contact:
Prof. Dr. Oya Beyan
+49 221 478-82911 www.uk-koeln.de
Application deadline: 28.04.2024
Postal address:
Universitätsklinikum Köln AöR
PA27
Geschäftsbereich Personal
Job-ID: 00004474
50937 Köln