Data Scientist
4 weeks ago
At Charles River, we are seeking a highly skilled Data Scientist to join our team in the pharmaceutical industry. As a Data Scientist, you will work with cross-functional teams to understand and analyze data from Manufacturing and Quality Control processes. Your expertise in statistical methodologies such as regression analysis, cluster analysis, and CHAID will be essential in ensuring 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 as well as overseeing and contributing to the overall data strategy and infrastructure support underpinning CRL's CDMO CGT program
- Assisting in the implementation of data harvesting, cleansing, and analysis
- Acts 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
- Responsible for designing and implementing data harvesting, cleansing and analysis strategies and in conjunction with key partners such as IT to ensure deployment of the most effective and compliant infrastructure
- Responsible for ensuring the level of training amongst the wider MS&T function is knowledgeable of the required activities with regard to statistical and data analytical techniques.
Requirements:
- 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.
The pay range for this position is $111,700K - $124,900K. Please note that salaries vary within the range based on factors including, but not limited to, experience, skills, education, certifications, and location.
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