The Quality Officer is responsible for contributing to the planning, organization, implementation and continuous improvement of the integrated Quality Management System of LIH,  to ensure compliance with regulatory requirements, ISO norms, Good Clinical (Laboratory) Practice as well as relevant “Best Practices” requirements e.g. for biobanking with the goal to receive and maintain related accreditation and certification, where strategically relevant.

The LIH is looking for highly motivated outstanding candidates with a strong interest in high dimensional health- or biology- related data analysis to establish a research team and run a dedicated service platform in relevant fields of interest. The focus of the core facility will be to support the current research demand of all LIH departments which are active in the field of cancer, immunologic diseases, and digital and precision public  health. Candidates should have a strong background in at least one of the following fields: Bioinformatics, Omics-data analysis, NGS, Tumour Genomics, Artificial Intelligence, System Biology (e.g:Image based system biology), single cell technologies (e.g.: transcriptomicsand proteomics),  Big Data for health and programming. Overall, candidates should be able to demonstrate knowledge with Algorithmic, Mathematical, Ontological and Statistical concepts with medical research applications. The applicants should be driven to take a leading role in expanding the research activities at LIH including supervision of Postdocs and PhD students and the acquisition of external funding for novel and innovative research collaborations. Candidates at all career level are invited to apply. Actual positions will be adapted  to candidate profile.

The Clinical Data Manager will join the LIH’s Competence Center for Methodology and Statistics (CCMS). Within the clinical research hub of the Department of Population Health, the CCMS provides methodological support in statistical planning as well as analysis & data handling for various laboratories and research groups. It also offers training in statistics and support in writing papers.

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To be part of the NORLUX Neuro-Oncology laboratory (Group leaders: Prof Simone Niclou and Dr. Anna Golebiewska) within the Department of Oncology at the LIH, we are currently looking for a Postdoctoral Fellow.

i2TRON is a highly innovative PhD training program on “integrating immune strategies for Translational Research in Oncology and Neurology” and is supported by the Luxembourg National Research Fund (FNR) within their PRIDE program. We will develop the next generation of translational scientists as boundary crossers, domain experts and skilled communicators. Inflammation is a common hallmark shared across different non-communicable diseases (NCD).

The Biostatistician will join the LIH’s CompetenceCenter for Methodology and Statistics (CCMS). Within the clinical research hub of theDepartment of Population Health, the CCMS provides methodological support instatistical planning, analysis & data handling for various laboratories andresearch groups. It also offers training in statistics as well as support inwriting papers.

The Research Strategy Specialist will report to, and work in close partnership with the Director of the Department of Infection and Immunity, supporting and complementing the work of the LIH to deliver excellence in fundamental and biomedical research programmes in Luxembourg. Research at the Department of Infection and Immunity aims to understand the complex immune mechanisms of infections and inflammatory disease processes and cancer, enabling new ways to diagnose and prevent or cure human diseases caused by these disorders.

Under the responsibility of the CEO, the Chief Medical Information Officer (CMIO) provides the necessary leadership to ensure that LIH’s information technology applications, platforms and infrastructure are fully integrated to support its research and translational strategy.The CMIO will also lead the creation of an integrated big data platform that will allow Luxembourg’s research community and national/international stakeholders to access integrated clinical and research data, as well as health insurance and social security data. The successful candidate will make sure that information technology and the use of artificial intelligence are as solid as to support and enable transformational system change, in close cooperation with other main key stakeholders, such as health-related government bodies and hospitals.