Postdocs in Statistical/Computational Genetics/Bioinformatics at Globe Institute, Faculty of Health and Medical Sciences, Uni...

This position seeks postdoctoral researchers specializing in statistical genetics, computational genetics, or bioinformatics within a health and medical sciences research environment. Candidates are expected to have advanced expertise in statistical methods and computational approaches applied to genetic data analysis. Proficiency in programming languages commonly used in bioinformatics, such as R, Python, or similar, is essential for developing and implementing algorithms and models. Experience with large-scale genomic data sets, including next-generation sequencing data, genome-wide association studies (GWAS), or population genetics data, is highly relevant. Familiarity with statistical frameworks for genetic association, heritability estimation, or genetic risk prediction is important. The role likely involves interdisciplinary collaboration, requiring strong communication skills and the ability to work with biologists, clinicians, and other computational scientists. A strong foundation in genetics, molecular biology, and statistical theory underpins successful performance. Candidates should demonstrate the ability to independently design and execute computational experiments, analyze complex data, and contribute to scientific publications. Experience with high-performance computing environments and data management best practices is advantageous. Overall, the role demands a combination of rigorous quantitative skills, programming proficiency, and domain knowledge in genetics and bioinformatics to advance research in health and medical sciences.