Submit a cover letter and resume along with references, in confidence, onlineat Applications will be accepted until August 16,2026. While all applicants are thanked for their interest, only short-listedcandidates will be contacted.
Application Information Employer Name: Canadian Light Source Inc.
Employer Address: 44 INNOVATION BLVD SASKATOON, SK CANADA S7N2V3 Representative Duties Collaborate with beamline scientists to develop and implement data analysis and machine learning algorithms for diffraction, spectroscopy, imaging, and other beamline techniques. Provide the CLSI user community with robust and curated data-analysis workflows to maximize scientific output. Analyze large and complex datasets from synchrotron beamlines using Python or other relevant programming languages.
Develop and maintain data processing pipelines for integration, reduction, and quality assurance. Work closely with beamline teams to optimize data acquisition, processing protocols, and data quality. Develop and maintain or adopt data visualization tools to effectively communicate analytical results.
Stay current with emerging data analysis and machine learning techniques and apply them to improve research outcomes.
Education Undergraduate degree in a relevant field is required. Masters degree or Ph.D. in Computer Science, Statistics, Physics, Chemistry, Bioinformatics, or a related discipline with a focus on scientific data analysis and machine learning is not required but would be an asset.
Experience Minimum of 3 years of experience developing and implementing data analysis and machine learning algorithms using Python or other relevant languages. OR a minimum of 2 years of directly related experience with a Masters degree. OR a minimum of 1 year of related experience with a recently completed Ph.D. Demonstrated experience working with large, complex scientific datasets is considered an asset.
Skills & Competencies Strong programming skills in Python or comparable languages.
Experience with data analysis, machine learning, and scientific computing. Demonstrated ability to work collaboratively in multidisciplinary teams. Robust problem-solving and analytical skills.