Are you passionate about life sciences research, clinical health data, and nutrition and have an aspiration to lead the team in future? We’re excited to announce an opportunity for a Senior Clinical Data Scientist (aka Senior Health Data Scientist) at the Danone Nutricia Research & Innovation (R&I) Center, located in Utrecht, the Netherlands. Our team operates at the dynamic intersection of life sciences, digital health, clinical operations, medical affairs, and biometric data science within our Global R&I Medical & Nutritional Sciences division. Our mission is to support the development and validation of new medical and nutritional products (find out more: https://lnkd.in/eVRrYTye). 

Our key priorities are: 

1. Innovate: Develop state-of-the-art solutions using advanced statistical and data science techniques. 

2. Generate Evidence by analyzing high-dimensional data in clinical studies, applying advanced statistics and machine learning, conduct post-hoc analyses, reuse historical data and perform meta-analysis/ systematic reviews to inform evidence-based decision-making. 

3. Leverage Real-World Data (RWD): Analyze high-dimensional health datasets collected from digital health tools via real-world/ pragmatic or clinical study settings.  

Your contributing will be pivotal in shaping our strategy to deliver results, where you can make a difference through your people management and project management skills. Join us in shaping the future of nutritional products through data-driven insights. 

Main responsibilities:

Co-build evidence generation programs and strategic execution:

• Lead and collaborate with colleagues to design and implement evidence generation programs. 

• Contribute to the strategic direction by aligning initiatives with scientific roadmaps.

• Understand and actively execute the scientific strategy within efficient project contributions, lead team members to ideate and execute projects within the program.

Data-Driven Impact, through the team: 

• Leverage advanced statistical and machine learning models to extract insights from multidimensional data obtained from clinical studies.

• Efficiently collate, process, and analyze real-world data to create and validate new nutritional engines.

• Validation of Digital Health tools, including setting quality criteria and defining in which settings a tool can be used.

Cross-Functional Collaboration and innovation:

• Work closely with cross-functional teams, including Life Science, Digital Health, Biometrics, Data Science, Clinical Operations, and Medical Affairs. 

• Provide expert data science and statistical input to enhance decision-making. Contribute to the development of new data science innovations.

• Play a pivotal role in shaping the future of nutritional products through evidence-based insights.