Data Integration Analyst

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Join our Hyderabad Hub, build a career and you can be part of transforming our business while helping to change millions of lives. ReadyAs Senior Data Integration Analyst within our Hyderabad Hub, you will play a key role in the integration of data collected through clinical trials, contributing significantly to implementing tools to enhance data flow management. Your responsibilities will include the implementation of data flows and data mapping to meet the organizations clinical data hub standards and ensuring compliance with GCP and applicable regulatory guidelines. You will ensure that all activities are completed according to agreed-upon standards and timelines, while also providing support to guarantee the accuracy and reliability of the data.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people s lives. We re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started

Main responsibilities :

Experience : Experience in clinical data management and knowledge external data integration and mapping.
Soft and technical skills : Collaboration and communication skill
Experience with CDM and related regulations (incl. ICH E6 and E8).
Risk-based mindset focusing on Quality by Design (QbD) and on what really matters.
Learn and adapt quickly when facing new problems. Think critically and use rigorous, objective, and pragmatic methods to solve multidimensional problems with effective and timely solutions.
Knowledge in CDISC standards /terminologies in Clinical Data Standards. Knowledge in data transfer and data mapping using digital tools. Anticipate delivery risks, bottlenecks, issues, and delays to proactively prevent them or minimize their impact.
Understanding of advanced drug development concepts such as Decentralized Clinical Trials (DCT), Master Adaptive Protocols, eSource. Programming languages (SAS, R or Python) and AI Based automations is a plus.
Education : Bachelor or Master of Science degree or above, preferably in a life science or mathematics-related area (e.g., Pharmaceutical, medical, or mathematics, computer science or similar technical fields).
Languages : Strong English skills (verbal and written), ability to exchange fluently in a global environment.