Scientific Data Specialist

Organizational Unit

University of Victoria -> VP Research -> Ocean Networks Canada

Posting Close Date

17 April 2023

Please note that positions will close at 4 p.m. on the closing date.

FTE

1.0

Salary Grade

$72,191.00 - $93,896.00

Additional Posting Information

Please note that while the university encourages and accepts external applications, a strong pool of internal candidates has been identified for this opportunity.

Salary posted will be pro-rated based on FTE

Classification

SG12

Start Date

5/1/2023

End Date

5/3/2024

Employee Group:

PEA - Term

# of Hires Needed

1

Category

Science

About this Opportunity

The University of Victoria is one of Victoria’s largest employers and one of Canada’s best diversity employers. Together we are more than 5,000 dedicated faculty, librarians and staff supporting the University of Victoria’s diverse academic programs, world-class research and commitment to civic engagement.

The salary range for this position is:

Recruitment range: $72,191- $79,595 starting salary determined by the PEA Collective Agreement.

Performance range: starting salary to max of $93,896 is available through annual performance increases.

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