QC Data Analyst at Medvacon Life Sciences
Medvacon Life Sciences · Houston, United States Of America · Onsite
- Professional
- Office in Houston
Position Summary
The QC Data Analyst is responsible for collecting, organizing, analyzing, and interpreting data from multiple laboratory and manufacturing sources to support Quality Control (QC) operations within a pharmaceutical environment. This role will focus on trending, visualization, and data integrity to ensure proactive identification of quality trends and support continuous improvement efforts.
Key Responsibilities
- Collect, compile, and validate QC data from various systems and electronic laboratory notebooks.
- Perform data analysis to identify trends, shifts, and anomalies in analytical results, environmental monitoring, stability studies, and manufacturing data.
- Develop and maintain Excel-based dashboards, graphs, pivot tables, and trend charts for QC data reporting and visualization.
- Support routine QC data trending reports, annual product reviews, and quality metrics summaries.
- Collaborate with QC, QA, Manufacturing, and other departments to interpret and communicate data findings.
- Ensure data accuracy, completeness, and compliance with cGMP and data integrity principles (ALCOA+).
- Assist in investigations, CAPAs, and OOS/OOT analysis through data-driven insights.
- Maintain documentation and records in compliance with regulatory and company standards.
- Support continuous improvement of QC data management processes and reporting tools.
Education:
- Bachelor’s degree in a scientific or technical field (e.g., Chemistry, Biochemistry, Biology, Data Science, Statistics, or related discipline).
- 2–5 years of experience in Quality Control, Data Analysis, or related role in the pharmaceutical or biotechnology industry.
- Experience with GMP-regulated environments preferred.
- Strong proficiency in Microsoft Excel (advanced formulas, pivot tables, macros, and data visualization).
- Experience with data analysis and statistical trending.
- Familiarity with QC laboratory systems (e.g., LIMS, Empower, SAP) is an asset.
- Excellent attention to detail and data accuracy.
- Strong communication skills to present data and trends clearly to technical and non-technical audiences.
- Ability to manage multiple data sources and deliver reports within defined timelines.
- Experience with data visualization tools (e.g., Power BI, Tableau) a plus.
- Understanding of cGMP, GLP, and data integrity requirements.
- Statistical knowledge (control charting, capability analysis, regression).