Job Description
**Job Title: Data Science Lead**
**_Location: Hyderabad_**
**_About the job_**
An exciting opportunity to join our risk-based monitoring team. Risk-based monitoring (RBM) is an adaptive approach to clinical trial monitoring that directs focus and activities to critical data and processes that have the most potential to impact patient safety and data quality. In this context, the RBM team is responsible for designing, executing, and optimizing the Sanofi RBM approach to align with regulatory requirements and Sanofi's objective to drive quality, efficiency, and speed of clinical trials.
The **_Data Scientist Lead_** is responsible for leading the regional Data Scientist team. As a key enabler of our risk-based management strategy, you will drive the team to develop and implement advanced data-driven solutions that enhance the monitoring of clinical trials. You will play a critical role in ensuring data quality, patient safety, and trial reliability t...
**_Location: Hyderabad_**
**_About the job_**
An exciting opportunity to join our risk-based monitoring team. Risk-based monitoring (RBM) is an adaptive approach to clinical trial monitoring that directs focus and activities to critical data and processes that have the most potential to impact patient safety and data quality. In this context, the RBM team is responsible for designing, executing, and optimizing the Sanofi RBM approach to align with regulatory requirements and Sanofi's objective to drive quality, efficiency, and speed of clinical trials.
The **_Data Scientist Lead_** is responsible for leading the regional Data Scientist team. As a key enabler of our risk-based management strategy, you will drive the team to develop and implement advanced data-driven solutions that enhance the monitoring of clinical trials. You will play a critical role in ensuring data quality, patient safety, and trial reliability t...
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Submit ApplicationJob Details
- Location Hyderabad, India
- Job Type Full-time
- Category other-general
- Posted Date June 03, 2026
- Application Deadline June 09, 2026