Data Verification Associate

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
184
-
πŸ—“οΈ - Date discovered
September 16, 2025
πŸ•’ - Project duration
More than 6 months
-
🏝️ - Location type
Remote
-
πŸ“„ - Contract type
Unknown
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#Data Governance #Datasets #Documentation #Quality Assurance #Scala #Spotfire #Compliance #Data Management
Role description
πŸ“Œ Position Title: Data Verification Associate 🌍 Work Location: Remote ⏳ Assignment Duration: 12 months (Possible Extension) πŸ“ Position Summary: β€’ We are seeking a detail-oriented Data Verifier to ensure the accuracy, consistency, and reliability of data across our systems. 🎯 Background & Context: β€’ This position is for someone with a strong analytical mindset who thrives in maintaining high-quality data that supports business decision-making. πŸŽ“ Qualifications & Experience: β€’ A degree in Biology or Chemistry is strongly preferred. β€’ Experience within pharma/biotech companies would be ideal. β€’ 1–3 years of experience in data verification, data management, or quality assurance within biotech, pharma, or related industries. β€’ Strong attention to detail with proven ability to identify data discrepancies and maintain accuracy. β€’ Familiarity with data governance standards, compliance requirements, and documentation practices would be preferred. β€’ Strong attention to detail and a high level of accuracy. β€’ Excellent organizational and time management skills. β€’ Proficiency in Microsoft Office, Spotfire, and other data handling tools (ex., Spotfire). ⚑ Key Responsibilities: β€’ Data Validation & Verification: Review, compare, and validate data entries across multiple systems and sources. Identify discrepancies, errors, or anomalies in datasets. Ensure compliance with established data standards, policies, and quality frameworks. β€’ Quality Assurance: Perform regular audits of data input processes to maintain high accuracy levels. Work closely with data entry and data management teams to resolve inconsistencies. Escalate systemic issues and recommend process improvements. β€’ Documentation & Reporting: Maintain logs of verification activities and error correction outcomes. Provide feedback and training recommendations to improve data handling practices. β€’ Collaboration: Coordinate with various departments to ensure alignment on data governance. Support internal stakeholders by providing verified datasets for business use. πŸ‘‰Note: This role does not offer C2C (Corp-to-Corp) arrangements. Candidates requiring visa sponsorship now or in the future will not be considered.