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Senior Scientist I, Statistical Genetics
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Full-time
- The Human Genetics and Genomics group at Editas Medicine is seeking a passionate scientist to lead the analysis of human genetic and 'omic data to identify and validate targets and support development of CRISPR-based gene editing therapies.
- This individual will design and execute experiments that leverage rare-disease patient datasets, large-scale human genetic datasets (e.g. UK Biobank), catalogs of disease mutations (e.g. OMIM, ClinVar), and molecular data (e.g. RNA expression, proteomics) to understand the genetic etiology of severe diseases; identify therapeutic mechanisms amenable to Editas' gene editing strategies; and characterize patient populations amenable to treatment.
- The individual will work collaboratively with peers in Human Genetics and Genomics, Computational Biology, Discovery, and Translational Sciences to advance early research and translational activities.
- Design and execute statistical analyses leveraging large-scale biobank data and/or rare disease genetic datasets, to understand the role of genetic variation in human disease and identify candidate therapeutic targets.
- Master's or PhD in statistical genetics, bioinformatics, genetic epidemiology, biostatistics, computational biology or related discipline; and a minimum of 4 years post-PhD or 8 years post-Masters experience leveraging human genetics data.
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