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Intermediate Scientific Programmer
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Intermediate Scientific Programmer
University of VictoriaVictoria, Capital Regional District, CA- Full-time
Intermediate Scientific Programmer
Join to apply for the Intermediate Scientific Programmer role at University of Victoria .
Ocean Networks Canada (ONC) is a world‑leading organization supporting ocean discovery and technological innovation. ONC is a not‑for‑profit society that operates and manages innovative observatories on behalf of the University of Victoria that supply power and data connectivity to various scientific instruments located in coastal, deep‑ocean, and Arctic environments. ONC’s cable arrays host thousands of sensors distributed in, on and above the seabed along with mobile and land‑based assets strategically located, instruments that address key scientific and policy issues (subsea earthquakes and tsunamis, ocean acidification, marine biodiversity, etc.) within a wide range of environments.
As part of the Observatory Digital Operations department, the Software Development team designs, implements, operates and maintains ONC’s flagship data management system, Oceans 3.0, which empowers user communities in accomplishing complex analytic tasks and dealing with large data volumes of increasing size and complexity. In fulfilling its role, the department supports ONC's core mandate to collect and serve data and information needs in line with the FAIR (Findable, Accessible, Interoperable, Reusable) data principles while ensuring the highest quality and security standards in alignment with the UVic Information Security Standards.
The Software Development team is responsible for the lifecycle of projects requiring software; and implements, operates, and continuously improves the ONC data management system Oceans 3.0. The team may also take on related digital infrastructure projects, apps, architecture and support. This comprehensive system sets ONC apart as the global leader in ocean data delivery.
The Intermediate Scientific Programmer (Scientific Programmer) works as part of a team to design, develop, deploy, and maintain data products and associated software. These data products provide the means for scientists to acquire ONC’s immense repository of raw data, processed data, data visualizations, and real‑time data. The Scientific Programmer ensures operational reliability and quality of those data products. This position contributes to data acquisition, new instrument integration and support, metadata, data and statistical analysis, and any scientific and high‑performance computing activity at ONC as needed. This often includes internal and external user support.
The Scientific Programmer reports to the Associate Director, Software Development with work assigned on a project basis and in the general area of data products and scientific computing support. The Scientific Programmer works closely with software developers and software team leads to ensure the scientific quality of ONC’s software, including reviewing requirements and writing test plans.
The Intermediate Scientific Programmer requires a master’s degree in ocean, earth or geophysical science with a strong scientific computing component, or a master’s degree in computer science or engineering with a strong component of earth, ocean or geophysical science and a demonstrated ability to carry out scientific programming tasks and a minimum of four years of scientific software development or scientific computing experience. Alternatively, an equivalent combination of education and experience.
Experience and Knowledge Requirements
- Proven ability to design, write, build, test and debug software, with a focus on scientific computing.
- Demonstrated proficiency in the following computing languages : Python, MATLAB, Java or C++, SQL.
- Management of information systems and technology in accordance with industry best practice, including relevant professional development to keep knowledge and skills current. Data analysis and visualization using technologies such as MATLAB, SciPy / NumPy / Matplotlib or equivalents.
- Numerical analysis including time series analysis, statistical analysis.
- Familiarity with data acquisition and data science concepts in earth, ocean and geophysical sciences.
- Scientific data and metadata formats and standards such as NetCDF, HDF5, ISO‑19115 or other XML‑based format used in Earth and Ocean sciences.
Competencies
Highly Desired Assets
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Higher Education
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Location : Victoria, British Columbia, Canada.
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