Research Data Scientist - Saskatoon, Canada - Canadian Light Source Inc.

Canadian Light Source Inc.

Verified Company

Saskatoon, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

The Canadian Light Source Inc. (CLSI) is a national research facility of the University of Saskatchewan.

CLS produces very bright light to explore the nature and structure of molecules and serves national and international users from academia, industry, and government institutions.

Responsibilities:

Collaborate with beamline scientists to develop and implement or adopt data analysis and machine learning algorithms for diffraction, spectroscopy, and imaging techniques.
Provide CLSI's user community with robust and curated dataanalysis schemes to maximize the scientific output of research conducted at beamlines.
Analyze large volumes of data from various synchrotron beamlines using Python or other relevant languages.
Develop and maintain data processing pipelines for integration, reduction, and quality checks.
Work closely with beamline teams to optimize data acquisition, processing protocols, and quality assurance.
Develop, maintain, or adopt data visualization tools to effectively communicate data analysis results.
Stay uptodate with the latest data analysis and machine learning techniques to help improve our research output.

Qualifications:

A relevant undergraduate degree is required; a Master's degree or Ph.

in computer science, statistics, physics, bioinformatics, or a related field focusing on scientific data analysis and machine learning is preferred.

A minimum of 3 years of demonstrated experience in developing and implementing data analysis and machine learning algorithms using Python or other relevant languages, a minimum of two years of directly related experience with a Master's degree, or a minimum of one year of related experience with a recently completed relevant Ph.

Experience with data processing and analysis in scientific domains, preferably synchrotron data analysis.
Experience writing productionquality Python code using standard coding practices like unit testing, version control, and software repositories like GitHub.
Proficiency in using relevant machine learning and data analysis libraries such as Scikitlearn, PyTorch, TensorFlow, Pandas, SciPy and NumPy.
Experience with Linux or Unixbased High-Performance Computing (HPC) environments.
Knowledge of data visualization tools such as Matplotlib, Plotly, and
Strong communication skills and ability to work independently and in a team environment.

Remuneration:
Remuneration will be commensurate with qualifications and experience.

A comprehensive benefits package, including supplemental health & dental, life insurance, pension plan, and four weeks' vacation, is part of a competitive compensation package.