About us
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg.
We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society.
Successful candidate will join the Clinical and Translational Informatics group, led by Dr. Venkata Satagopam. The group bridge translational medicine and bioinformatics through innovative approaches to data integration, visualisation, and advanced analytics. Our research combines bioinformatics, data science, and IT solutions to advance digital health and translational medicine using a "bench-to-bedside" approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving diagnostics and healthcare solutions. For more information, please visit our page.
We are looking for a highly motivated post-doctoral candidate interested in advanced health data interoperability and harmonisation, federated data analysis and the development of next generation AI-based research infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's, Parkinson's and Cardiovascular diseases.
Your role
You will work within a multidisciplinary environment alongside data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on enhancing a federated data analysis infrastructure by leveraging data standards and interoperability frameworks to enable AI-based data analysis in a FAIR, privacy-preserving, and clinically meaningful manner, aligned with EHDS regulations and TEHDAS 2 guidelines.
Your responsibilities include:
- Developing and implementing a standardized, interoperable and AI-ready data infrastructure using standards and common data models such as OMOP CDM, HL7 FHIR, DICOM, and relevant GA4GH standards
- Developing and contributing to data catalogue infrastructures that enable dataset discoverability based on HealthDCAT-AP and TEHDAS 2 data-description guidelines and project-specific requirements
- Collaborating closely with data providers, clinicians, and technical teams to ensure high-quality data integration, validation, and analysis workflows
- Supporting documentation, reproducibility, and dissemination of research outputs: scientific publications, presentations, consortium deliverables
- Participating in international research collaborations and contributing to large-scale EU-funded research initiatives
If you meet the required education and experience but don't tick every technical skill listed, we still encourage you to apply! We value motivation, and willingness to learn, and a passion for data systems and research infrastructure.
For further information, please contact Dr. Sandrine Medves (email address: ).
Your profile
Core qualifications:
- A PhD in computer science, medical informatics, computational biology, bioinformatics, or a related field, with an interest in biomedical informatics and translational medicine
- Hands-on experience working with standard common data models: OMOP CDM, HL7 FHIR
- Hands-on experience working with Semantic Web and metadata standards: HealthDCAT-AP, DPV, ORDL
- Experience programming in Python and working with machine-learning frameworks and libraries, e.g., PyTorch, TensorFlow, Hugging Face
- Strong conceptual understanding of clinical and biomedical research, data standards, and research infrastructures
- Comfortable working across disciplines and translating between technical, clinical, and scientific teams
- Fluency in English (C1) is required; additional languages are an asset
Desirable:
- Good understanding of the EHDS ecosystem, TEHDAS 2 guidelines, and related regulations
- Experience with AI programming tools and algorithms using Python and R
- Experience working with OHDSI tools and packages: ETL, DQD, HADES, Achilles, Athena
- Good understanding of data quality frameworks and metrics: QUANTOM, Kahn
- Good understanding of data protection and AI regulations: GDPR, AI Act
- Experience working with clinical datasets and EHR systems
- Prior knowledge of AI/ML-based tools and technologies for data harmonization and analysis is considered an advantage
Personal Skills:
- Open-minded, critical thinker with strong analytical and problem-solving skills
- Comfortable working across disciplines and communicating with clinical, technical, and scientific stakeholders
We offer
- A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
- An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
- A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs
How to apply
Applications in English should include:
- A detailed curriculum vitae (CV) including a list of publications and projects
- Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective
- PhD diploma or a letter/information indicating the expected defense date
- Transcript of all modules and results from university-level courses taken
- Contact information and recommendation letters from at least three referees
Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.
All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.
General information:
- Contract Type: Fixed Term Contract 36 Month
- Work Hours: Full Time 40.0 Hours per Week
- Location: Belval Campus
- Internal Title: Postdoctoral researcher
- Job Reference: UOL08430
The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 87306 (full time).
