Postdoctoral Research Fellowship in Precision Medicine and Statistical Data Science Full-time

Job Title

Main Responsibilities

Perform advanced statistical analyses of large-scale human genetic, phenotypic, environmental, and registry-based data to investigate resilience and risk factors for Alzheimer's disease and related dementias.

Develop, adapt, and implement statistical and analytical methods tailored to complex population-based and longitudinal data, including method development driven by specific scientific questions within the ResiliDem project.

Conduct data preparation, quality assessment, and harmonization of complex datasets from population cohorts, biobanks, and health registries, including national and Nordic resources (e.g., HUNT, HUSK, DemGene) as well as international datasets.

Integrate genetic data with phenotypic, lifestyle, environmental, and longitudinal registry information to characterize disease heterogeneity, trajectories, and modifiers across the life course.

Design and apply robust analytical strategies for population-based and longitudinal studies, including model development, sensitivity analyses, and careful interpretation of results.

Collaborate closely with clinicians, statisticians, geneticists, and other researchers to translate analytical findings into biological and clinical insight relevant for precision medicine.

Contribute to the scientific development of the ResiliDem project, including study design, analytical strategy development, and dissemination of results through high-quality peer-reviewed publications.