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Data Scientist
2 months ago
The Data Scientist will collaborate with cross-functional teams to analyze data from Manufacturing and Quality Control processes. As the statistics lead on Manufacturing Science and Technology projects, the successful candidate will employ various data analysis techniques and statistical methodologies to ensure the timeliness, quality, and statistical validity of all analyses, output, and presentations.
Key Responsibilities- Work with large and complex data sets to solve a wide-range of challenging problems using different analytical and statistical approaches
- Provide statistical and data interpretation support to the wider MS&T function, overseeing and contributing to the overall data strategy and infrastructure support underpinning CRL's CDMO CGT program
- Assist in the implementation of data harvesting, cleansing, and analysis
- Act as the subject matter expert regarding all statistical and data analytic needs within the MS&T function in support of the wider data analytical framework
- Design and implement data harvesting, cleansing, and analysis strategies, ensuring deployment of the most effective and compliant infrastructure in conjunction with key partners such as IT
- Ensure the level of training amongst the wider MS&T function is knowledgeable of the required activities with regard to statistical and data analytical techniques
- Bachelor's degree in statistics, economics, mathematics, life sciences, engineering, or relevant coursework
- Advanced degree (Masters, PhD) preferred
- Minimum 5 years working in the pharmaceutical industry in technical and/or process statistical role
- Mastery of various statistical methodologies such as regression analysis (both linear and non-linear), cluster analysis, CHAID, factor analysis, principal component analysis, etc.
- Achievement in the pharmaceutical manufacturing environment preferred
- Demonstrated proficiency in scientific creativity, collaboration with others, and independent thought in suggesting experimental design to support and/or lead process development, and support objectives
- Proven ability to identify and implement data analytical enterprise solutions in support of investigation, routine trending, and Continued Process Verification
Charles River is an early-stage contract research organization (CRO) with a diverse portfolio of discovery and safety assessment services, both Good Laboratory Practice (GLP) and non-GLP, to support clients from target identification through preclinical development. With over 20,000 employees within 110 facilities in over 20 countries around the globe, we are strategically positioned to coordinate worldwide resources and apply multidisciplinary perspectives in resolving our client's unique challenges.
We have proudly supported the development of 86% of the drugs approved by the FDA in 2021. Our mission, our excellent science, and our strong sense of purpose guide us in all that we do, and we approach each day with the knowledge that our work helps to improve the health and well-being of many across the globe.