Assistant Research Scientist – Big Data Infrastructure
We are seeking a postdoctoral research scientist with a strong background in scientific software development to be a member of the Johns Hopkins University, Institute for Data Intensive Engineering and Science (IDIES) research and development project teams. The ideal candidate must have the vision and creativity to find innovative solutions to the Big Data challenges that these projects entail, as well as the rigor and experience to develop high-quality application software to address these challenges.
The selected candidate will be responsible for the design, development, testing and deployment of the suite of scientific software applications developed in the JHU Physics and Astronomy department. They will act as the technical lead on the projects they work on, in particular the NSF funded SciServer project, which aims to build a long term flexible, reusable and scalable framework to access to the enormous data sets in fields ranging from observational astronomy (the Sloan Digital Sky Survey to the Large Synoptic Survey telescope) and genomics to the simulation data generated by the largest scale simulations in astronomy, mechanical engineering and fluid dynamics (e.g., turbulence), materials science and brain science.
They will be a technical contributor to the design of the SciServer architecture over the next 2 years duration of the project, working with existing team members and collaborators. Duties will include programming primarily in Java and C#.NET, developing core system components, web applications, database applications, and data management infrastructure; defining and maintaining an appropriate development and testing environment for the project; documenting software components for both developers and users, developing test plans for the system, executing the plans and live system deployment; and deploying applications to our live environment.
The ideal candidate will have a PhD in a scientific or related field (e.g., Astronomy, Physics, Math), with 1-3 years related experience in scientific software development, preferably software engineering. Relevant experience may substitute for a degree. Additional related education and/or demonstrated knowledge, ability and skills to perform the work described may substitute for experience. Required skills for this position include proficiency in at least one major object-oriented programming language like Java, C++ or C#; Web application development on Windows and Linux; Web services development on Windows and Linux; working knowledge of SQL and relational database management systems (RDBMS); database application programming. Desired Skills/Experience include experience with web services development in ASP.NET and Java; experience in developing scientific applications with Python; experience with large databases; experience with scientific data; knowledge of N-Tiered Enterprise Architectures; knowledge of SOA; knowledge of formal software development environments, and knowledge of full software lifecycle processes (waterfall, iterative, agile); and knowledge of formal change control and baseline release management.
The position will remain open until filled, but applications received by June 30, 2017 will be given priority.
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