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# Associate Process Data Scientist

- **Company:** Regeneron
- **Location:** East Greenbush, NY, United States
- **Salary:** $62,355.0 - $92,400.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Databases, Data Control, Data Integrity, Data Visualization, Laboratory Information Management Systems, Statistical Process Control (SPC), Data Processing, Data Management
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e36606d7c3fae87e

## About the Role

* Assoc: BS/BA in mathematics/statistics, or related discipline.

## Description

* Lead or support the implementation, expansion, and continuous improvement of Regeneron's process monitoring programs and systems.
 * Accurately source and verify process data from paper records and database systems (LIMS, Qumas, OPM, Historian) to support data monitoring needs in a timely and efficient manner.
 * Apply statistical process control and quality engineering to monitor process capability and performance, identify trends, and support investigations.
 * Use scientific principles to solve process or design problems by determining root cause of process-related deviations.
 * Work with cross-functional departments to ensure process data are being used to maximize process understanding and facilitate continuous improvement opportunities.
 * Support the development of automated solutions that address specific analytical objectives and facilitate report generation and distribution of analyses.
 * Manage quality system events pertaining to data integrity and data management such as investigations, CAPAs, and change controls.
 * Apply data visualization tools to translate data into useful information for operations managers and process engineers.
 * Analyze data sources and develop strategies and solutions for data acquisition, aggregation, and reporting.
 * Apply advanced numerical and statistical modeling techniques including multivariate analysis (PCA and PLS), curve metrics and univariate batch analysis to analyze large datasets of process and raw materials data and generate predictive models to supplement and enhance process understanding.
 * Lead cross functional teams in technical investigations to resolve process issues and identify process improvements. Present findings at interdepartmental forums.
 * Support the development of automated solutions that address specific analytical objectives and facilitate report generation and distribution of analyses.
 * Provide audit and regulatory submission support where applicable.
 * Issue technical reports summarizing conclusions of data analysis and recommendations for process improvements. Present findings at interdepartmental forums.
 * Provide coaching and mentoring to junior members of the team.