Scientific Data Specialist
- Full-time
About this
Opportunity
ONC seeks a skilled individual for the role of Scientific Data Specialist. The successful candidate will have an M.Sc. or (ideally) a Ph.D. in a relevant science or engineering discipline. The Scientific Data Specialist will be a key contributor to our Data Analytics and Quality team, driving innovation through the application of advanced computational techniques to complex oceanographic datasets. This role is essential for transforming raw data into actionable insights and valuable data products that support both scientific research and operational needs. We are looking for a creative problem-solver with a passion for ocean science and a background in machine learning.
General experience with Oceanographic Scientific Device Data, Quality Assurance / Quality Control processes and standards, AI-driven Innovation, Data Product Generation, Research Data Management, User Support and Tool Development are welcome. Expertise in complex oceanographic data, broadly geophysics, and particularly acoustics, tends to align very well with this position.
*This position is eligible for a hybrid flex arrangement*
The salary range for this position is:
- Recruitment range: $84,211 to $92,849. Starting salary is determined in accordance with the PEA Collective Agreement.
- Performance range: Up to $109,532. Progression beyond the recruitment range is available through annual performance increases, in accordance with the PEA Collective Agreement.
Job Summary
The Data Quality and Products team prepares the user requirements for new data products and data access; creates prototypes of data products; implements data quality and integrity measures; and actively interacts with ONC staff and the user community to improve ONCs data product delivery and data services.
The Scientific Data Specialist is responsible for the development of sophisticated data products, including verification and quality assessment of real-time and archived data. These data products enable scientific and non-scientific users to understand, interpret and analyze the information collected via the instruments on the network operated by ONC.
Job Requirements
The Scientific Data Specialist will have a Master’s degree in Earth and Ocean Sciences or a related field and 2-3 years of experience working with data from oceanographic/geophysical instruments, or the equivalent combination of education and experience.
Essential qualifications include excellent problem solving and interpersonal skills as well as a strong quantitative and technical background in relevant fields.
The following knowledge and experience are required:
- practical experience in Python, Matlab or experience developing data products using computational and data analysis/visualization tools in one or more of the following scientific programming languages: Python, Matlab, or R,
- experience with time series and spatial analysis
- excellent skills in quantitative data validation
- experience with handling oceanographic and seismic instruments and their data
- proven ability to take projects from conception to completion
Preferred:
- some knowledge of scientific data formats/standards such as netCDF, HDF, SensorML or other XML-based formats used in Earth and Ocean Sciences
- some practical experience in C/C++ or Java, XML or HTML and other scripting languages such as IDL, Mathematic is beneficial
- some experience with relational databases, modelling and simulation, and using query tools such as SQL
Territory Acknowledgement: We acknowledge and respect the Lək̓ʷəŋən (Songhees and Xʷsepsəm/Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and WSÁNEĆ Peoples whose historical relationships with the land continue to this day.
Equity Statement: UVic is committed to upholding the values of equity, diversity, inclusion and human rights in our living, learning and work environments. In pursuit of our values, we seek members who are eager to actively participate in that shared responsibility. We actively encourage applications from members of historically and systemically marginalized groups.
Accessibility Statement: If you anticipate needing accommodations for any part of the application and hiring process contact: uviccareers@uvic.ca Any personal information provided will be maintained in confidence.
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