Quality Assurance Analyst

Ventures Unlimited, Inc.; Indianapolis (IN); On-site; USD 60,000 - 90,000; Full time

Job summary

Ventures Unlimited, Inc. in Indianapolis seeks a data quality professional to refine Python workflows and ensure STARLIMS alignment with EPA chemistry standards. The role involves reviewing analytical results, validating data packages, and improving data integrity across multiple methods while collaborating with chemists and IT.

Strong attention to regulatory detail is essential. Applicants should demonstrate experience with laboratory data systems, inventory processes, and competency

Qualifications

• Experience reviewing laboratory data against regulatory standards.
• Strong knowledge of EPA chemistry test methods.
• Experience validating data packages for regulatory submissions.
• Ability to communicate with chemists and IT developers.

Responsibilities

• Revise and improve Python code and data operations to boost efficiency and STARLIMS integration.
• Develop, revise, and verify quality program standards based on EPA chemistry test methods.
• Review accuracy, reproducibility, and analytical data to validate test results.
• Review and assess new or modified programs, documentation, and specifications.
• Recommend improvements to developers and technical teams.
• Identify differences between standards and user applications and modify accordingly.
• Review chemistry procedures to identify deviations from published methods.
• Evaluate chemical inventory systems and laboratory operational processes.
• Validate Excel spreadsheets used for analytical calculations.
• Review annual competency assessments for approximately 25 chemists across roughly 60 analytical methods.

Skills

Python review

STARLIMS

EPA methods

Excel validation

Data package review

Inventory management

Competency assessments

Tools

STARLIMS

Excel

Job description

• Interview Process: In-person interview

Key Responsibilities

• Revise and improve existing Python code and data operations to enhance efficiency and integration with STARLIMS LIMS.
• Develop, revise, and verify quality program standards based on EPA chemistry test methods.
• Review accuracy, reproducibility, and analytical data to validate laboratory test results.
• Review and assess new or modified programs, documentation, and specifications to ensure they meet user requirements and established guidelines.
• Recommend program improvements or corrections to developers and technical teams.
• Identify differences between established standards and user applications and recommend appropriate modifications.
• Review chemistry procedures to identify deviations from published analytical methods.
• Evaluate chemical inventory systems and laboratory operational processes.
• Validate Excel spreadsheets used for analytical calculations.
• Review annual competency assessments for approximately 25 chemists across roughly 60 analytical methods.

Additional Relevant Skills

• Python code review and improvement.
• Laboratory Information Management Systems (LIMS), particularly STARLIMS.
• EPA chemistry test methods and laboratory quality standards.
• Excel spreadsheet validation and analytical calculations.
• Chemistry data package review and method compliance.
• Laboratory inventory management and competency assessments.

#SKILL MATRIX:

Ability to Communicate with both chemists and program developers

Collaborated with IT and development teams to support implementation and validation of a Laboratory Information Management System (LIMS).

Participated in system testing, identifying defects and recommending improvements to ensure accurate data capture and reporting.

Conducted detailed reviews of analytical data packages to ensure compliance with regulatory standards including EPA, FDA, and state environmental pr

Verified completeness, accuracy, and adherence to reporting guidelines for externally submitted laboratory results.

Ensured full traceability and integrity of laboratory data by maintaining validated electronic records and consistent documentation practices.

Reviewed system outputs and audit trails to confirm data accuracy and compliance with quality assurance standards.