Senior Scientist, Biostatistics

.Location: Barcelona, Spain; Warsaw, PolandCompetitive Salary & BenefitsMakee a more meaningful impact to patients' lives around the globHere you'll have the opportunity to make a meaningful difference to patients' lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world's most complex diseases. Answer unmet medical needs by pioneering the next wave of science,focusing on outcomes and shaping the patient ecosystem.With our ground-breaking pipeline, the outlook is bright. Be proud to be part of a place that has achieved so much, yet is still moving forward. There's no better time to join our global, growing enterprise as we lead the way for healthcare and society.What will you do?This role is within the Centre for Genomics Research. It is an opportunity to be part of ground-breaking research at the forefront of human multi-omics. This role will focus on developing cutting edge methods focused on the analysis and integration of multi-omic data, including genomics, proteomics, metabolomics and transcriptomics from hundreds of thousands of ancestrally diverse human samples. You will be part of a dynamic team in CGR's multidisciplinary genomics research environment comprising bioinformaticians, genome scientists, software engineers, postdoctoral researchers anddisease area specialists. You will also work closely with specialists in translational science, drug discovery, pre-clinical modelling, and clinical development.Develop new methods and apply them in the interpretation of large human studies, including population-scale omics analysesIdentify opportunities to incorporate additional molecular data into genomic analyses such as proteomics, metabolomics and gene expression dataUse the integration of multi-modal human omics data from diverse populations to understand disease biology, disease mechanisms of causal human genetic discoveries, and lifecycle managementIdentify repurposing opportunities for new and existing medicines.Create new methods using multi-omics data to map non-coding regulatory variation to druggable targetsWork with sophisticated phenotype data (e.G