BU's Research Computing Services (RCS) group currently has one opening.
BU Research Computing Services Overview
For over 35 years RCS has provided consulting, training, and infrastructure support to thousands of researchers on the Charles River and Medical Campuses. RCS 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. RCS manages the University’s Shared Computing Cluster (SCC) a Linux cluster with over 19,000 CPU cores, 300 GPUs, and 7 PB of disk for research data. RCS supports 3,000 researchers on over 720 projects from 80 departments and centers at the University. Additionally, RCS manages much of the Northeast ATLAS Tier 2 center facilities including 11,000 x86 cores and 10 PB of storage. The ATLAS cluster serves more than 3,000 researchers world-wide.
Boston University is a founding member of the Massachusetts Green High-Performance Computing Center (MGHPCC) along with Harvard, MIT, Northeastern and the University of Massachusetts. 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.
The Research Computing group actively participates in intra- and inter-university collaborations, both regionally and nationally, including participation in the XSEDE Campus Champions program and the Northeast CyberTeam program.
RCS is a major partner in the Massachusetts Open Cloud (MOC), an initiative to build an open alternative to today’s public clouds, as well as the Commonwealth Cloud for Computational Biology (C3DDB), a project which supports research connecting life science with big data analytics. Both of these projects are funded by the Commonwealth of Massachusetts and are collaborations with our partners at the MGHPCC.
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 35,000 undergraduate and graduate students from more than 130 countries, 10,000 faculty and staff, 17 schools and colleges, and 300 programs of study, our three 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.
Boston University’s policies provide for equal opportunity and affirmative action in employment and admission to all programs of the University.
For more information about the Research Computing Services group, please visit rcs.bu.edu.
To learn more about being an employee at Boston University, please visit www.bu.edu/hr/careers.
To view the full posting and apply for the open position, please click on the job title.
The Research Computing Applications & Data Specialist III will 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, neuro-engineering, 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 LifeSciences 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.
- Graduate training in Engineering, Bioinformatics, Neuroscience, or related training field. or an equivalent combination of education and experience required.
- 5-8 years of relative work experience preferred.
- Extensive knowledge of neuroimaging and computational neuroscience software packages such as Freesurfer, FSL, SPM, etc.)
- Experience with fMRI analysis and constructing and optimizing analysis pipelines.
- Fluency in multiple programming languages (including MATLAB, Python, R) and the ability to quickly learn new programming languages and tools as required
- Experience with command-line development tools in a Linux environment is desired
- Experience with the architecture, design, and implementation of the software and hardware computational frameworks for neuroimaging, including familiarity with XNAT/ DICOM file processing and NiFTI-1 file processing
- Extensive experience with supporting life sciences research, including neuroscience and neuroimaging research
- Strong analytical skills are required with an ability to manage multiple projects and deliverables
- Excellent communication and presentation skills, the ability to convey technical information in a clear and thorough manner