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FAS Research Computing offers a unique environment for its staff to explore new technology, engage with world-class researchers and students, and work in a unique, exciting, cutting-edge Research/HPC environment. Faculty of Arts and Sciences RC provides not only high-performance computing and research support, but also training, engagement, continued learning, and special projects.
FASRC seeks a diverse team of highly-motivated and engaged personnel to make our mission a success and make our team a pleasure to work within. Come join us and enjoy the benefits of working for Harvard University in an exciting and ever-growing research computing group.
Lead RC Systems Engineer, Security
Lead the planning of and conduct advanced research computing engineering duties. Develop new RC solutions to keep up with the pace of complex research problems. Develop enhancements of monitoring to maintain the integrity of RC systems. Lead cross-functional technical teams and projects alongside research programs. Lead multiple technical projects simultaneously.
FAS Research Computing is seeking Lead Systems Engineer for Security to design and help maintain various research computing systems to meet the demands of Harvard faculty using sensitive data in their research. This is an individual contributor position that will report to the Manager of Systems Engineering and Operations in FAS Research Computing (FASRC), and will regularly engage with Chief Information Security Officer, Risk Management & Audit Services, and peers at other Schools at Harvard.
This position is primarily responsible for leading the planning of and conduct advanced RC engineering duties, developing new RC solutions to keep up with the pace of complex research problems, developing enhancements of monitoring to maintain the integrity of RC systems, and leading cross-functional technical teams and multiple technical projects simultaneously.
Senior Research Software Engineer (Data Engineer)
Harvard University is hiring a Senior Research Software Engineer to support the data engineering needs of Professor Francesca Dominici's group at the Harvard School of Public Health, which coalescing data from various governmental and non-governmental sources including high-resolution air pollution exposure data, census data, and health data from Medicare, Medicaid, and private insurance companies. Projects would include engaging with researchers to develop and implement statistical and machine learning methods to estimate the causal effects of environmental exposures on health in the presence of high dimensional data. This position works within a team of Research Software Engineers and Systems Engineers and reports to the Associate Director of Research Software Engineering. This position is key in the development and implementation of system and data services that can be used to efficiently query data at a variety of spatial and temporal resolutions to meet the needs of a large and diverse network of collaborators.