Data Scientist - Level 3
Applied Network Solutions
Posted 8 hours ago
Zachary Piper
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Technical Data Analyst – Data Quality (Regulatory Data) Location: Remote – United States (U.S.-based candidates only) Position Type: Contract Duration: Through March 2027, with potential for extension based on business needs Schedule: Full-time About the Opportunity Our client, a leading global pharmaceutical organization, is seeking a Technical Data Analyst – Data Quality to support regulatory data governance and data quality monitoring initiatives. This individual will play an important role in translating business data quality requirements into technical specifications, executable rules, and validated monitoring processes. Working closely with Regulatory Data Stewards and technical stakeholders, the analyst will help ensure regulatory data is accurate, complete, consistent, and reliable across critical systems and processes. The ideal candidate combines hands-on experience with Veeva Vault RIM, regulatory data, SQL, and Python, along with the ability to translate business requirements into technical data quality rules. This is a highly collaborative role requiring both technical analytical capabilities and an understanding of pharmaceutical regulatory data. Key Responsibilities • Translate business data quality requirements into detailed technical specifications, including rule logic, thresholds, severity levels, exceptions, and Critical Data Elements (CDEs). • Profile and analyze regulatory source data to evaluate data quality, identify patterns and relationships, and determine implementation requirements. • Develop, build, and configure data quality rules using SQL, Python, and approved rule-management platforms. • Support the implementation and configuration of data quality rules within BRMS or other approved data quality tools. • Develop and execute test scenarios, including positive, negative, boundary, and exception testing, to validate rule accuracy and functionality. • Reconcile testing results, including evaluated, passed, and failed records, in collabor
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