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knowledge in bioinformatics and data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of clinical genomics, single cell RNA-sequencing and transcriptomics
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programming (Dash, FLASK, geospatial python package), linux,relational databases/NOSQL Multivariate analysis (PCA, PLS, UMAP, tSNE, DBSCAN) and exploratory spatial data analysis Network and data sciences
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 12 hours ago
experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia; must have experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty
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, preferably in Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as
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Skills/Qualifications Strong background in Operating Systems and Linux development Knowledge of memory management mechanisms and system-level programming Experience with Machine Learning models (design
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large-scale data centers; Advanced experience with large-scale software development and support; Advanced knowledge of Linux kernel internals and systems programming methods; Advanced knowledge of large
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, programming, Linux, data, and infrastructure perspective: short-term projects helping researchers with specific tasks, so that the researchers gain competence to work independently. Provide good role models
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. Verilator). Experience on Beam Instrumentation Development System (BIDS). Comfortable in a Linux environment. Knowledge of Rust. Knowledge of quantum information science and experimental and analytical
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Instrumentation Development System (BIDS). Comfortable in a Linux environment. Knowledge of Rust. Knowledge of quantum information science and experimental and analytical experience. Knowledge of machine learning
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proficiency in Python and/or R; familiarity with working in a Linux/Unix environment; fluency in English (both written and spoken); excellent communication and teamwork skills in an interdisciplinary