Senior Associate Scientist, Bioinformatics

Run and develop proprietary Next Generation Sequencing analysis pipelines for short- and long-read technologies. Communicate results of computational analyses to interdisciplinary teams of scientists. Investigate state-of-the art statistical methods and ‘omics tools for novel sequencing technologies (e.g. RNA modification measures, proteogenomics). Assist in the interpretation of results from complex scientific experiments. Professionally maintain code in a version-controlled repository. Contribute to our data science culture. M.S. in a quantitative discipline, or B.S. (2+ years) with equivalent professional experience. Coding capability in R and Python. Prior experience with the analysis of omics-based biological datasets is essential; familiarity with NGS and differential expression analysis tools preferred. Experience with statistical methods and comfort reading and understanding scientific publications is preferred. A drive to learn and understand new sequencing-based technologies, and to develop and troubleshoot downstream analysis pipelines. Comfort working with Unix systems and cloud-based computing environments and tools (e.g. AWS, docker). Knowledge of, or an interest in learning, the fundamentals of RNAi biology. Experience communicating and presenting scientific results, as well as collaborating closely with colleagues with varied skill sets.