Job Title: Data Validation Team Member
Location: Hyderabad, India
Job Type: Full-time, Permanent
Travel: As per business needs
Hiring Manager: Project Lead – ESR & Grants
Estimated Salary: ₹8 – ₹12 LPA (based on experience and market standards)
About the Job:
Sanofi is looking for a detail-oriented Data Validation Team Member to ensure the accuracy, quality, and consistency of clinical data through comprehensive validation and control processes. The role is part of the Sanofi Business Operations (SBO) team, supporting a range of global functions including Specialty Care, R&D, and Commercial.
Key Responsibilities:
Data & System Management:
Understand electronic data collection processes, especially eCRFs in Medidata RAVE (EDC).
Perform data verification, identify discrepancies, and ensure overall data quality.
Manage data queries and perform user acceptance testing (UAT) for system updates and CRF changes.
Maintain and update issue logs related to data issues and resolutions.
Metrics & Reporting:
Generate and track metrics related to form entries, queries, and review backlogs.
Review data listings generated in SAS and ad-hoc reports for accuracy.
Quality Control & Reconciliation:
Ensure strict quality control of all in-scope activities.
Perform thorough data reconciliation to maintain data integrity.
Contribute to documentation such as Data Review Guidelines and Quality Management Plans.
Training & Documentation:
Facilitate training sessions for new team members and design test cases.
Draft project-related documents on an ad-hoc basis.
Stakeholder Engagement & Process Excellence:
Collaborate effectively with internal stakeholders and support team initiatives.
Recommend and implement process improvements to enhance operational excellence.
Candidate Profile:
Experience:
3+ years working with Medidata RAVE (EDC) and SAS in a clinical data management environment.
Familiarity with regulatory guidelines and industry standards (e.g., CDISC, FDA, EMA).
Technical Skills:
Proficient in data tools such as SQL, SAS, R, and/or Python.
Strong understanding of data validation, transformation, and cleaning techniques.
Soft Skills:
Excellent organizational, project management, and communication skills.
Strong attention to detail with a high level of confidentiality.
Education:
Bachelor’s degree in a scientific discipline or life sciences with relevant clinical data experience.
Languages:
High proficiency in written and spoken English.
Why Join Sanofi:
At Sanofi, your work transforms lives. You'll contribute to breakthrough treatments in immunology, diabetes, and cardiovascular diseases while advancing your career with innovative technologies and a diverse, inclusive workplace.
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