QC Data Scientist – Pharma Data Integrity & LIMS

Regeneron; City of Rensselaer (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Regeneron is building a digital Quality Control laboratory and seeks a QC Data Scientist to ensure instrument-to-LIMS data integrity, monitor control limits, and turn QC data into actionable insights for analysts and managers.

You will validate data flows, build dashboards, apply multivariate analyses and ML tools, troubleshoot data-transfer issues, and support GxP data integrity across the scientific data layer in collaboration with QC, informatics, and IT.

Qualifications

• Must have strong analytics and data interpretation skills.
• Experience with QC data, LIMS data flows, and data validation.
• Experience with statistical control limits and trend analysis.

Responsibilities

• Validate instrument-to-LIMS data transfers for completeness and integrity.
• Maintain statistical control limits and Review by Exception logic.
• Build and maintain dashboards translating QC data into actionable insights.
• Apply multivariate analysis and anomaly detection to monitor performance.
• Troubleshoot data-transfer discrepancies and ensure data quality.
• Support GxP data integrity and assist investigations and CAPAs.

Skills

Statistics & data analysis

SQL & data modeling

Python or R

Tableau/Power BI/Spotfire

Machine learning basics

Education

BS/BA in Biochemistry, Chemistry, Biology, Data Science or related field

PhD preferred

Tools

Tableau

Spotfire

Power BI

JMP

Minitab

SIMCA

Discoverant

MATLAB

Job description

Regeneron is building a digital Quality Control laboratory and seeks a QC Data Scientist to ensure instrument-to-LIMS data integrity, monitor control limits, and turn QC data into actionable insights for analysts and managers.

You will validate data flows, build dashboards, apply multivariate analyses and ML tools, troubleshoot data-transfer issues, and support GxP data integrity across the scientific data layer in collaboration with QC, informatics, and IT.