QC Data Analyst

Houston, MS - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

This is a 1099 Contract-to-Hire position with no benefits. Estimated 3-month contract.

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.

Qualifications
Education:

Bachelors degree in a scientific or technical field (e.g. Chemistry Biochemistry Biology Data Science Statistics or related discipline).

Experience:

25 years of experience in Quality Control Data Analysis or related role in the pharmaceutical or biotechnology industry.
Experience with GMP-regulated environments preferred.

Skills and Competencies:

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.

Additional Preferred Skills

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).

At this time our organization is unable to offer visa sponsorship or take over sponsorship for employment-based visas including H-1B.

We encourage all candidates who are currently authorized to work in the United States without employer sponsorship to apply. Thank you for your understanding and interest in joining our team.

Important Notice: Protecting Your Information
Medvacon Talent Acquisition only conducts initial video interviews via Microsoft Teams or Zoom. All communication will come from an email address ending in @. If you receive a message that seems suspicious or is not from our official domain please report it immediately to

Required Experience:

Manager

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.