Post-Doctoral Fellow in Clinical Data Sciences for Translational Cancer Research

To be part of the Cancer Epidemiology and Prevention Team (EPICAN) within the Public Health Expertise Unit (PHE) at Department of Precision Health (DoPH) at the LIH.

Background: Population-based cancer registries (PBCR) play a crucial role in cancer surveillance and cancer research. Furthermore, PBCRs evaluate the effectiveness of cancer prevention and control efforts and contribute to the formulation of policies and screening programmes. With an extensive knowledge about multiple source data linkage, data harmonization, automated decision-making and interoperable formatting, PBCR may extent their scope thank to linkage with secondary data sources. Luxembourg’s National Cancer Registry (RNC) together with support from the National Cancer Plan aims to explore RNC data linkage possibly with secondary data sources as biobanks, genomic data sets and socioeconomic data sources.

Objectives: The upcoming 1-year research initiative of the study “RELIANCE: REaL-life cANCEr epidemiology research,” aims to analyze high-resolution cancer registry data and to explore linkage with other additional data sources. Goals are to pinpoint relevant factors to translation cancer research while also discerning key priorities and strategies. RELIANCE study represents an inter-disciplinary and translational research project with high relevance for national policy (the National Cancer Plan (PNC2)) and international research on the use of health data to improve patient outcomes.

Training and research environment: The National Cancer Registry of Luxembourg and the Public Health Expertise Unit are dynamic, multidisciplinary and international teams within the Department of Precision Health. RELIANCE study is an initiative of EPICAN (Epidemiology and Prevention Research Group) which also includes experts from the Department of Medical Informatics (DMI), and has close and active relationships with key national and international stakeholders as policy makers, clinicians and researchers. The team works at the intersection of cancer research with a focus on translation aspects to improve population health.

Key Accountabilities

• Initiating research using the OMOP data model.
• Support the National Cancer Registry data mapping with other data sources.
• Conduct studies analysing national cancer cohorts and related health indicators.
• Perform statistical analyses; contribute to publications, and present results at conferences.
• Assist in drafting and submitting proposals for funding to support further research development.

Key Skills, Experience, and Qualifications

• PhD in data sciences, medical semantics/informatics, biostatistics, cancer epidemiology or a related medical/ clinical field. Familiarity with cancer registry data is beneficial.
• Proficiency in statistical analysis and data management; experience with R is preferred.
• Strong analytical, writing, and communication skills, with potential demonstrated through contributions to team projects or publications.
• Capacity to work independently with guidance and collaborate effectively within an interdisciplinary team.
• Good organizational skills with the ability to manage time and prioritize tasks effectively.
• Understanding of cancer control policies and care pathways is desirable.
• Proficiency in English and French language skills would be an asset.