QC Data Scientist: Lab Data & Quality Analytics

Regeneron Pharmaceuticals, Inc (USA); City of Rensselaer (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Regeneron Pharmaceuticals, Inc. in Rensselaer, NY, seeks a QC Data Scientist to validate instrument-to-LIMS data, maintain control limits, and turn QC data into actionable insights. You will build dashboards, apply advanced statistics and ML techniques, and ensure ALCOA+ data integrity for investigations and inspections.

The role collaborates with QC analysts, IT/OT, and Lab informatics to maintain a robust scientific data pipeline and uses tools like Tableau, Power BI, and Python/R for analysis.

Qualifications

• BS/BA with 6+ years analytical or QC data experience; PhD is strongly preferred with 2+ years.
• Strong SQL and data-modeling skills; ETL and data cleansing experience.
• Programming in Python and/or R; familiarity with statistics and ML tools.
• Experience with Tableau, Spotfire and Power BI for dashboards.

Responsibilities

• Validate instrument-to-LIMS data flows for completeness and integrity.
• Maintain statistical control limits and Review by Exception logic.
• Build dashboards and analytics translating QC data into actionable info.
• Apply multivariate analyses, trending, and anomaly detection.
• Troubleshoot data-transfer issues and distinguish artifacts from true signals.
• Support GxP data integrity (ALCOA+) and assist investigations.
• Collaborate with QC analysts, informatics/IT, and OT to keep the data pipeline healthy.
• Leverage LLMs to accelerate drafting, coding, and analysis with appropriate governance.

Skills

SQL

Python

R

Statistics

Machine learning

ETL

Data modeling

Tableau

Spotfire

Power BI

Education

Bachelor's in Biochemistry / Chemistry / Biology / Data Science

PhD (strongly preferred)

Tools

LIMS

LabWare

JMP

Minitab

Discoverant

MATLAB

Job description

Regeneron Pharmaceuticals, Inc. in Rensselaer, NY, seeks a QC Data Scientist to validate instrument-to-LIMS data, maintain control limits, and turn QC data into actionable insights. You will build dashboards, apply advanced statistics and ML techniques, and ensure ALCOA+ data integrity for investigations and inspections.

The role collaborates with QC analysts, IT/OT, and Lab informatics to maintain a robust scientific data pipeline and uses tools like Tableau, Power BI, and Python/R for analysis.