Senior QC Data Scientist — GMP Analytics & LIMS

Regeneron Pharmaceuticals, Inc; Rensselaer (IN); On-site; USD 79,000 - 129,000; Full time

Job summary

Regeneron Pharmaceuticals, Inc. is seeking a QC data scientist to validate instrument-to-LIMS data flows and maintain control limits. You will build dashboards turning QC data into actionable insights for analysts and managers, applying statistical and ML tools to monitor performance and support GMP data integrity.

The role involves collaboration across QC, informatics, and OT teams, with hands-on lab experience and strong data skills to ensure data quality in Industry 4.0 workflows.

Qualifications

• Bachelor degree in life sciences with hands-on QC or analytical lab experience and data skills.
• Experience with GMP data integrity, ALCOA+, investigations, and CAPAs.
• Proficiency in SQL, Python or R for data manipulation and analysis.
• Experience with HPLC/UPLC (Empower) or bioassays and data interpretation.
• Strong knowledge of multivariate methods, trending, and anomaly detection.

Responsibilities

• Validate instrument-to-LIMS data flows and data lake transfers for completeness and integrity.
• Maintain control limits and RBE logic; triage flags and escalate issues.
• Build dashboards and analytics to turn QC data into actionable insights.
• Apply statistics and ML tools to performance monitoring and investigations.
• Support GMP data integrity and participate in CAPAs and inspections.

Skills

Data analysis

Statistics

SQL

Python

R

GMP data integrity

Multivariate analysis

Machine learning

Education

BS/BA in life sciences

PhD (preferred)

Tools

LabWare LIMS

JMP

Minitab

Discoverant

MATLAB

Tableau

Power BI

Spotfire

Job description

Regeneron Pharmaceuticals, Inc. is seeking a QC data scientist to validate instrument-to-LIMS data flows and maintain control limits. You will build dashboards turning QC data into actionable insights for analysts and managers, applying statistical and ML tools to monitor performance and support GMP data integrity.

The role involves collaboration across QC, informatics, and OT teams, with hands-on lab experience and strong data skills to ensure data quality in Industry 4.0 workflows.