What are the responsibilities and job description for the Data Scientist II – System Validation Analysis position at bioMérieux?
A world leader in the field of in vitro diagnostics for over 55 years, bioMérieux provides diagnostic solutions which determine the source of disease and contamination to improve patient health and ensure consumer safety.
In North America we have more than 5,000 team members across 11 sites or subsidiaries, including Salt Lake City-based BioFire Diagnostics and one subsidiary in Montreal, Canada. Come be a part of our team and our mission as a Data Scientist!
In North America we have more than 5,000 team members across 11 sites or subsidiaries, including Salt Lake City-based BioFire Diagnostics and one subsidiary in Montreal, Canada. Come be a part of our team and our mission as a Data Scientist!
bioMérieux - Salt Lake City is looking for a talented and engaged Data Scientist to play an integral role in the support of cutting-edge, life-saving medical devices. You will be joining a team that values collaboration, continuous improvement, and a healthy work life balance.
The candidate will be knowledgeable in various aspects of data science, including data mining, data analytics, building and maintaining analytic dashboards, developing robust data pipelines, and performing complex mathematical and/or statistical analysis for projects to support System Validation and Sustainment department. The candidate must have strong analytic and programming skills. The candidate will be embedded in the Data Science department but will have close collaboration with the Software Development, Molecular Biology, System Sustainment, and Engineering teams at bioMérieux. Therefore, the candidate must have strong communication skills and desire to work in a highly collaborative environment.
Studies and Experience:
Studies and Experience:
- A minimum of a B.S. in a quantitative discipline: Data Science, Statistics, Mathematics, Bioinformatics, Physics, Computer Science, Engineering, Computational Biology
- 2 years industry experience as a data scientist, mathematician, or statistician, or 0 years industry experience with a M.S. or PhD in a quantitative discipline.
- Programming proficiency in one or more of the following: Python, R, MATLAB, C , C#, or SQL
Skills and Qualifications:
Good communication, writing, and presentation skills
Excellent analytical and problem-solving skills
Practical experience in any of the following: data visualization, data mining, data analytics platforms (e.g., Tableau), data pipelines, data cleaning and processing, probability, statistics, experimental design and analysis, machine learning, image analysis, linear algebra, and optimization methods.
Good communication, writing, and presentation skills
Excellent analytical and problem-solving skills
Practical experience in any of the following: data visualization, data mining, data analytics platforms (e.g., Tableau), data pipelines, data cleaning and processing, probability, statistics, experimental design and analysis, machine learning, image analysis, linear algebra, and optimization methods.
QUALITY EXPERT, COMPUTERIZED SYSTEM VALIDATION
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