Lead the technical aspects of Research Computing services and service components related to consulting, training, scientific application package support, and the development, porting, and optimization of research computing software focused on computational neuroscience, neuroimaging, neuroengineering, and synthetic biology. Serve as the primary support contact for faculty and graduate students working in the above areas particularly those located in the Center for Integrated Life Sciences and Engineering (CILSE) on complex projects and issues which require in depth knowledge of the multiple technical areas, as well as the core computational research tools which they utilize. Work directly with faculty and other academic stakeholders to assess needs and recommend solutions as a representative of the Research Computing team. Coordinate with Desktop Support and other IS&T groups to ensure the most efficient and effective solutions to researcher computing needs.
Salary: Grade 56
MA/MS or an equivalent combination of education and experience required, PhD preferred. Five to eight years of relative work experience preferred. Strong Analytical skills required with an ability to manage multiple projects and deliverables. Extensive knowledge of numerical methods, computational methodologies, neuroimaging and computational neuroscience software packages. Experience with fMRI analysis and constructing and optimizing analysis pipelines. Fluency in multiple programming languages (including MATLAB, R, Python, and C), using and scripting for Linux clusters, and the ability to quickly learn new programming languages and tools as required. Extensive experience with supporting life sciences research including neuroscience and neuroimaging research on clusters is required.
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