Research Data Scientist

2 weeks ago


Saskatoon, Canada Canadian Light Source Inc. Full time

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 data-analysis 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 up-to-date 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.D. 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.D.
- Experience with data processing and analysis in scientific domains, preferably synchrotron data analysis.
- Experience writing production-quality 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 Scikit-learn, PyTorch, TensorFlow, Pandas, SciPy and NumPy.
- Experience with Linux or Unix-based High-Performance Computing (HPC) environments.
- Knowledge of data visualization tools such as Matplotlib, Plotly, and D3.js.
- 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.


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