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The Biomedical Genetics Section in the Department of Medicine at Boston University School of Medicine (BUSM) is seeking to fill a full-time position requiring computer programming and data analysis skills. The project is a multi-disciplinary study to analyze large datasets including clinical, epidemiological, genetics and genomics from the Alzheimer's Disease Sequencing Project Functional Genomics Consortium (ADSP-FGC). We will investigate the etiologies and risk factors of Alzheimer's disease and potential drug targets.

You will join a group of talented and motivated team members for this mission. New lab members have the option of being cross-trained to apply and develop computational frameworks for high-throughput, next generation sequencing (NGS) datasets (e.g. WES/WGS, bulk/single-cell Transcriptomic, Epigenomics, Proteomics and Metabonomics). The vibrant, multidisciplinary training environment will allow for learning the state-of-the-art in statistics modeling, genetics epidemiology, bulk/single cell genomics analysis/technologies and for close interactions with Biostatistician, Bioinformatician, Epidemiologist, Neuropathologist, clinical Neurologist and our collaborators at BUSM and the ADSP-FGC.

The successful applicant will implement various bioinformatic analysis strategies for multiple ongoing and emerging epidemiology, genetics and genomics projects in Alzheimer's Disease in a highly collaborative environment; direct the development and maintenance of genome-wide association analysis (GWAS) and genomic analysis pipelines and the implementation of various analysis strategies; respond to requests for analysis from faculty, postdocs, and collaborators; train students, postdocs and faculty in pipeline use; and test and utilize new software and tools, modifying them as needed to adapt to specific research needs.