Clinical Data QC Reviewer
AI in this role
Performs quality control review, data validation, and UAT for clinical trial data and electronic data capture systems.
Sanofi Business Operations (SBO) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally.
The Sanofi Business Operations is built to reduce reliance on external service providers and facilitate the development of internal expertise. The Sanofi Business Operations will leverage an untapped combination of talent pool.
Main responsibilities:
Sanofi is seeking a meticulous and detail-oriented Clinical Data QC Reviewer to join our team. The successful candidate will be responsible for ensuring the accuracy and quality of clinical data through rigorous quality control and validation processes.
Key Responsibilities:
- Quality Control Review: Perform quality control review of deliverables as defined in the Quality Control Plan (QCP).
- Data Validation: Conduct data validation activities on registry clinical data to ensure accuracy and completeness.
- System and Data Collection: Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application.
- Data Review: Review data listings produced in SAS, ad-hoc reporting, and scanned reports for consistency and accuracy.
- User Acceptance Testing (UAT): Perform UAT for CRF changes and system updates, document findings, and ensure issues are resolved.
- Issue Log Management: Update the Issue Log, including input of data issues and documentation of issue resolution.
- Test Case Completion: Complete test cases per client training requirements to ensure data integrity.
· People: (1) Seek alignment with internal stakeholders, and appropriate prioritization of Registry study data management activities, and compliance with approved processes; (2) Support team initiatives and objectives, identify and recommend process improvements and initiatives, and participate in company initiatives with the primary objective of adding value to the business
· Performance: (1) Maintain project database and conduct routine critical analyses of registry study data management objectives and deliverables to proactively identify and communicate potential risks and possible efficiencies to the stakeholders and ensuring compliance; (2) Track relevant data management key performance indicators (KPIs); (3) Ensure operational excellence and compliance readiness.
- Process: (1) Perform quality control review of deliverables as defined in the Quality Control Plan (QCP). (2) Conduct data validation activities on registry clinical data to ensure accuracy and completeness. (3) Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application. (4) Review data listings produced in SAS, ad-hoc reporting, and scanned reports for consistency and accuracy. (5) Perform UAT for CRF changes and system updates, document findings, and ensure issues are resolved. (6) Update the Issue Log, including input of data issues and documentation of issue resolution. (7) Complete test cases per client training requirements to ensure data integrity.
· Stakeholder: (1) Commit to Customers – Understand, meet, and excel internal and external customer expectations to create positive impact through the evolution of the Registry Data management function. (2) Cooperate Transversally – Collaborate effectively with peers, stakeholders, and partners across the organization to positively impact Registry study data management efficiency and execution.
About you
· Experience: 8+ years of experience with Medidata RAVE (EDC) application or other EDC systems. Strong attention to detail and analytical skills. Excellent communication and documentation skills. Experience in quality control, quality assurance, or data validation within the clinical research or pharmaceutical industry. Hands-on experience with clinical data management and validation processes. Familiarity with guidelines from regulatory bodies such as the FDA, EMA, and ICH. Knowledge of Good Clinical Practice (GCP) and Good Manufacturing Practice (GMP) standards
· Soft skills: Excellent written and oral communication skills. Excellent organizational and project management skills, and ability to meet deadlines and stakeholder management.
- Technical skills: Knowledge of Clinical Trial and/or real world evidence (RWE) data management, Ability to troubleshoot data issues and implement corrective actions. Proficiency in data management and analysis tools (e.g., SQL, SAS, R, Python). Understanding of validation protocols, standard operating procedures (SOPs), and regulatory requirements. Ability to identify and correct errors in clinical data sets.
- undefined
- Education: Degree in a scientific discipline or a related Life science degree with substantial experiences with data management of clinical trials. Efficiently managing multiple tasks and deadlines. Meticulous in reviewing data to ensure accuracy and completeness.
· Languages: High Proficiency in written and spoken English.
Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
How we rate this
Clinical Data QC Reviewer at Sanofi rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data validation was part of your work. What did you do?
- Tell me about a project where quality control was part of your work. What did you do?
- Tell me about a project where user acceptance testing was part of your work. What did you do?
- What's a project where you used Sas hands-on?
- Walk me through how you've used Medidata Rave in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Validation, Quality Control, User Acceptance Testing, Sas, and Medidata Rave. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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