· We are seeking a highly motivated and independent researcher to lead and contribute to projects in statistical genetics, computational biology, and multi-omics integration, with a focus on neurodegenerative and neuroinflammatory diseases such as Alzheimer’s disease and multiple sclerosis. The candidate will develop and apply cutting-edge analytical methods to large-scale genomic and
single-cell datasets, and collaborate with multidisciplinary teams to translate genetic findings into biological insights. In this role, typical responsibilities include: · Demonstrated expertise in genetic association analyses using large-scale genetic data. · Strong understanding of multi-omic data integration and its
application in therapeutic target discovery. · Experience in developing and implementing methods for data harmonization and normalization. · Experience with cutting edge genetic analysis approaches, such as genome-wide association analysis, exome-wide association analysis, rare variant analysis, Mendelian randomization,
LD Score regression, polygenic risk score modelling, pleiotropy analysis, meta-analysis, and the use of functional data to prioritize variants and genes of interest. · Proven ability to independently lead and manage research projects from conception to publication. · Develop and contribute to grant proposals to secure
research funding. · Mentor and supervise students and junior researchers, fostering their scientific development. · Excellent communication and collaboration skills, with a track record of working effectively in interdiscipli
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