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Sanofi Business Operations is hiring a Clinical Data Specialist in India to ensure accuracy and quality of clinical data from eCRFs using Medidata RAVE (EDC).
The role requires 3–5 years of hands-on Medidata RAVE experience, strong data management skills, and proficiency in SQL, SAS, R or Python, plus CDISC and HL7 familiarity. English communication is essential.
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.
Sanofi is seeking a dedicated and detail-oriented Clinical Data Specialist to join our team. The successful candidate will be responsible for ensuring the accuracy and quality of clinical data through comprehensive validation and quality control processes.
Experience: 3-5 years of Experience with Medidata RAVE (EDC) application or other EDC systems. Strong attention to detail and analytical skills. Excellent communication and documentation skills. Ability to work independently and as part of a team. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management.
Soft skills: Excellent written and oral communication skills. Excellent organizational and project management skills, and ability to meet deadlines and stakeholder management. Ability to maintain confidentiality of data and information during interactions with staff at all levels and across studies and sponsors. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management.
Technical skills: Proficiency in data management tools and software (e.g., SQL, SAS, R, Python) Understanding of data cleaning, transformation, and validation techniques. Familiarity with clinical data standards such as CDISC (Clinical Data Interchange Standards Consortium) and HL7 (Health Level Seven International). Knowledge of regulatory requirements and guidelines from bodies like the FDA and EMA.
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.
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