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Beamline Software Analyst

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Job Order #: 5695199

NOC: 2174
Employer Name:
Canadian Light Source Inc.
Posted Date:
28-Jun-2019
Location:
SASKATOON
 
# of Positions:
1
Employment Terms:
Full Time
Length of Employment:
Permanent
Education:
University Bachelor's Degree
Experience:
3-5 Years
Apply By:
22-Jul-2019
How to Apply?:
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Employer Name:
Canadian Light Source Inc.
Employer Address:
 
44 INNOVATION BLVD
SASKATOON,SK
CANADA
S7N2V3
Contact Name:
Riley Stefaniuk
Contact Email:
jobs@lightsource.ca
Employer Website:
https://www.lightsource.ca/


Description

Focusing on beamline software, you will work on science projects that meet changing scientific needs in collaboration with the CLS Science Software Development Committee. This newly formed team will provide strategic focus on capturing requirements and identifying priorities for delivering software solutions that improve the productivity and efficiency of experiments conducted by users of the facility.

You will solve scientific software problems by developing beamline software, microservices, APIs, development libraries, reports, scripts and automation. You'll specialize in a few areas, but you'll maintain a broad skillset. Your best assets will be your creativity, talent for learning, problem solving ability, and your drive to improve your colleagues' lives.

Responsibilities
- Lead projects to develop new software applications. Ensuring that staff and users are educated and trained and that documentation is provided
- Support, maintain and deploy existing solutions
- Write clean, maintainable, scalable, and tested software
- Work collaboratively and iteratively to build solutions that help achieve our corporate objectives

Qualifications & Experience:
- A degree in a scientific or technical field  Computer Science, Engineering, Physics or equivalent qualification; a combination of education and experience may be considered
- 3+ years software development knowledge/experience
- Interest in science and emerging technologies is a strong asset
- Previous experience in writing software for scientific applications is an asset, including knowledge of implementing data analysis, and processing techniques such as FFT, curve fitting, error propagation, normalization image recognition, etc.

Competencies:
- Python or C/C++, Scientific data fluency, Qt development
- Experience in agile methodologies
- Development of web services or control system end-user interfaces
- SQL, git, RESTful APIs, or event driven programming

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