Job Information
Sanofi Group Data Scientist in India
Job title: Data Scientist
Location : IN / 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 D ata Scientist (DS) is responsible for setting up and refreshing the RBM application for assigned studies, ensuring a seamless data flow, and configuring the system to meet RBM specifications and industry standards. You will work closely with Central Monitors and study Lead DS together to delivery RBM activities. If you are passionate about leveraging data to drive excellence in clinical trials, this is the opportunity for you.
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:
Data Extraction and Processing : Extract data from various systems and ensure it is preprocessed correctly, supporting the accuracy and reliability of our monitoring processes..
Dashboard Management : You will be in charge of setting up and updating KRI, DQA, QTL, and SPOT dashboards with precision and within the set timelines, adhering to established processes and standards.
Script Execution and Updates : Execute SAS or Python scripts, updating parameters as required to meet the specific needs of each study.
Collaborative Problem Solving : Provide a clear explanation of results and signals, working closely with Central Monitors and Lead Data Scientists to deliver effective RBM activities.
About you
Experience : Experience in a Clinical Research environment (CRO or Pharma).
Experience in clinical data programming (SAS, Python, R, …)
Soft and technical skills : Learns and adapts quickly when facing new problems. Think critically and use rigorous, objective, and pragmatic methods to solve multidimensional problems with effective and timely solutions.
Good at SAS programming skills, it’s better be able to develop from scratch.
Execute Python script with updating parameters based on studies.
Understand clinical trial-related documents with basic clinical knowledge, e.g., Protocol, SDS, CRF.
Good interpersonal, communication, and negotiation skills (verbal and written).
Able to acquire and apply new technical skills.
Education : Bachelor’s degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences)
Languages : Strong English skills (verbal and written), ability to exchange fluently in a global environment.
Why choose us?
Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
A team that drives the innovation of the monitoring activities that align with future need
“ W e believe that a Data Scientist is not just a job title; it's a role that embodies innovation, curiosity, and the power to transform data into actionable insights. You are the architects of our data-driven future, equipped with the latest technologies and a supportive environment that fosters growth and collaboration. ”