Research Computing Services (RCS) at Boston University has two immediate openings for well qualified candidates. For over 30 years RCS has provided consulting, training, and infrastructure support to thousands of researchers on the Charles River and Medical Campuses. Our group supports a wide range of disciplines from the Physical Sciences and Engineering to emerging computational communities such as Biostatistics, Bioinformatics, Genomics, Neuroscience, Machine Learning, Public and Global Health, Economics, Finance, Social Sciences, Microbiology, and Infectious Diseases. The computing facilities managed by the group include a shared Linux computing cluster with over 9,000 CPU cores, over 115,000 NVIDIA CUDA cores, more than 65 TB of main memory, and nearly 3 PB of disk, as well as the Northeast ATLAS Tier 2 center with an additional 3,000 CPU and 3 PB of storage. RCS serves over 2,400 researchers on over 450 projects from more than 70 departments at the University. The ATLAS cluster serves more than 3,000 researchers world-wide.

Boston University is a partner, along with Harvard, MIT, Northeastern and U. Massachusetts, in the Massachusetts Green High-Performance Computing Center (MGHPCC). The MGHPCC is a research computing data center which includes 33,000 square feet of computer room space optimized for high performance computing systems, a 19MW power feed, and a high efficiency cooling plant that can support up to 10MW of computing load.

RCS is an active participant in the Massachusetts Open Cloud (MOC), an initiative to build an open alternative to today’s public clouds, and the Commonwealth Cloud for Computational Biology, a project to support research that connects world leading life science with emerging, innovative big data analytics. Both of these projects are funded by the Commonwealth of Massachusetts and are collaborative with our partners at the MGHPCC.

The Research Computing group actively participates in intra- and inter-university collaborations, both regionally and nationally, including participation in the XSEDE Campus Champions program.

Boston University is one of the leading private research and teaching institutions in the world, and one of the largest employers in the city of Boston. With over 33,000 undergraduate and graduate students from more than 140 countries, 10,000 faculty and staff, 16 schools and colleges, and 250 fields of study, our two campuses lead the way in world-class education and innovative research. BU has a rich legacy of serving both greater Boston and the world community.

For more information about the Research Computing Services group please visit http://www.bu.edu/tech/services/research/.

Scientific Programmer/Analyst III (Job # 53477/F0816)

Lead the technical aspects related to consulting, training, scientific application package support, and the development, porting, and optimization of research-computing software in the Department of Earth & Environment. Serve as the primary support contact for faculty and graduate students on complex projects and issues that require in-depth knowledge of the multiple technical areas within the University’s Research Computing Services Group as well as the core computational research tools used by the Department of Earth & Environment. Work directly with faculty and other academic stakeholders to assess needs and recommend solutions as a representative of the Research Computing team. Act as primary liaison between faculty, staff, and students in Earth & Environment and staff at Research Computing Services. Reside in the Department of Earth & Environment.

Required Skills
B.A./B.S. required, Masters preferred. Five to eight years of relevant experience. Strong analytical skills with an ability to manage multiple projects and deliverables. Extensive knowledge of numerical methods, computational methodologies, and math/statistical software packages (Python, MATLAB, R). Experience with computational workflows and tools (e.g. ENVI/ARCGIS, QGIS/GRASS) related to Earth & Environment, including Energy & Environmental science, Geographical Sciences, Biogeosciences, and Geology/Geophysics/Geochemistry. Fluency in multiple programming languages, using and scripting Linux, and ability to quickly learn new programming languages and tools as required. Experience with computing on large-scale clusters and optimizing/parallelizing code desired.

Senior Scientific Programmer/Analyst(Job # 3821/I0916)

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.

Required Skills
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.