Clinical Data Specialist Job at Sanofi | Hyderabad

Sanofi is hiring for a Clinical Data Specialist Job in Hyderabad. Pharmacy graduates are eligible to apply. The application deadline is 15 December 2026.

Job Details

Company: Sanofi

Location: Hyderabad

Job Requisition ID: R2873125

Time Type: Full time

Posted On: Posted Today

End Date: 15 December 2026

Clinical Data Specialist Job Responsibilities

  • System and Data Collection: Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application.
  • Data Verification: Verify data for consistency and identify discrepancies.
  • Query Management: Raise and manage queries to resolve data issues.
  • User Acceptance Testing (UAT): Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed.
  • Issue Log Management: Update issue logs with data issues and resolutions.
  • Metrics Creation: Create form entry and query metrics.
  • Metrics Tracking: Track eCRF review and backlog metrics.
  • Data Review: Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy.
  • Quality Control: Ensure quality control of all activities in-scope, as discussed and required by Sanofi.
  • Reconciliation: Perform data reconciliation to ensure data integrity.
  • Guideline Input: Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan.
  • Documentation: Draft project documents on an ad-hoc basis.
  • Training Facilitation: Facilitate training for new team members and create test cases.

In this Clinical Data Specialist Job, the selected candidate will support accurate clinical-trial data review, reconciliation, query resolution and quality-control activities.

Eligibility Criteria

  • Experience: 3-5 years of Experience with Medidata RAVE (EDC) application or other EDC systems.
  • Soft Skills: Excellent written and oral communication skills.
  • Technical Skills: Proficiency in data management tools and software (e.g., SQL, SAS, R, Python).
  • Education: Degree in a scientific discipline or a related Life science degree with substantial experiences with data management of clinical trials.
  • Languages: High Proficiency in written and spoken English.

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