Clinical Data Curator Specialist (CDCS)

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 Clinical Data Curator Specialist (CDCS) is responsible for the maintaining, organizing and improving the accessibility of clinical data to support Advance Analytics having expertise in Data Manipulation, Data extraction, Data Optimization, Data Visualization etc. Understanding of AI fundamentals with knowledge of Machine learning. This role will involve working closely with a group of core Data Scientists to ensure accuracy, completeness, and relevance of the data that will used for analysis. 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 Inventory and Organization: Maintain a comprehensive inventory of clinical data sets to ensure clear structure and long-term usability. Implement best practices for data organization and governance.

• Collaborative Problem Solving: Work closely with data scientists to understand data requirement and quality standards, collaborate with digital to enhance and optimize the data pipelines and integration processes.

• Data Extraction and Curation: Extract, curate, and prepare clinical data sets to ensure they are fit for purpose and adhere to data governance standards. Enhance data quality for use in advanced analytics.

• AI/Machine Learning: Hands on experience in Machine Learning and its application in clinical trials to derive meaningful insights from data.

• Risk Based Quality Assurance: Implement and continuously improve a risk-based quality assurance process. Ensure proper documentation of datasets used for analysis to safeguard data integrity and ensure reliable results.

• Develop code/workflows and optimise existing ones : Leverage domain expertise and technical knowledge to continually enhance existing code and develop new one as per changing requirements.

About you

• Experience: Experience in a Clinical Research environment (CRO or Pharma).

• In depth knowledge of clinical data programming using SAS - Base, Macros, SQL/ Python/R and experienced in handling data from multiple data sources.

• Soft and technical skills: Learns 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.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• Proficiency in programming languages (either SQL, Python, Advance SAS or R). A professional certification will be a nice to have.

• Hands on experience in data wrangling, data extraction and manipulation from diverse input data sources using advance SQL concepts.

• In depth knowledge of optimizing queries and joins to efficiently process large datasets of varying degree of complexity.

• Familiarity with machine learning (using Python packages) and their application in clinical trial

• In depth understanding of clinical trial related documents and clinical knowledge, e.g., Protocol, SDS, CRF and the ability to churn both structured and unstructured data to generate meaningful output.

• Strong analytical skills with an attention to detail.

• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

• 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 driving the innovation of the monitoring activities that align with future need

“We believe that a Clinical Data Curator is not only collects data for storage, but you are key to brining data to life in an AI-driven world; it's a role that embodies innovation, curiosity, and the power to transform data into actionable insights. Join us as a curator of our AI future, supported by cutting-edge technology and a collaborative team environment.”