Senior Health Data Scientist
4 dagen geleden
About the Role
We are seeking a highly skilled Senior Health Data Scientist to join our team at Danone Nutricia Research & Innovation (R&I) Center in Utrecht, the Netherlands.
Key Responsibilities
- Develop state-of-the-art solutions using advanced statistical and data science techniques to drive innovation in clinical research.
- Generate evidence by analyzing high-dimensional data in clinical studies, applying advanced statistics and machine learning, conducting post-hoc analyses, reusing historical data, and performing meta-analysis/systematic reviews to inform evidence-based decision-making.
- Leverage Real-World Data (RWD) to analyze high-dimensional health datasets collected from digital health tools via real-world/pragmatic or clinical study settings.
Main Responsibilities
- Co-build evidence generation programs by collaborating with colleagues to design and implement evidence generation programs and contributing to the strategic direction by aligning initiatives with scientific roadmaps.
- Strategic Execution: Understand and actively execute the scientific strategy within efficient project contributions, ensuring timely and high-quality execution of projects and programs.
- Data-Driven Impact: 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, and application validation of Digital Health tools, including setting quality criteria and defining in which settings a tool can be used.
- Cross-Functional Collaboration: Work closely with cross-functional teams, including Life Science, Digital Health, Biometrics, Data Science, Clinical Operations, and Medical Affairs, providing expert data science and statistical input to enhance decision-making.
- Innovation: Contribute to the development of new data science innovations and play a pivotal role in shaping the future of nutritional products through evidence-based insights.
Requirements
- You hold a degree in a relevant field.
- 3-5 years of experience in the data science combined with life science/clinical domain.
- Prior experience in leading programs and contributing to strategy, able to work independently.
- Statistical and Data Science Proficiency: A thorough experience in advanced statistical and machine learning methods in the health domain, eager to bring innovation in clinical research, including high-dimensional data, secondary use of clinical data (historical data, systematic reviews), Real-World Data/Real-World Evidence (RWD/RWE), application validation of digital tool data in clinical trials.
- Quality and Purpose: You've navigated good clinical practices and quality management systems, driven by purpose, committed to contributing to Danone's mission of positively impacting health, and excellent communication skills in English ensure seamless collaboration.
About Us
We offer a complete package of benefits, with a competitive primary salary and yearly bonus, but also benefits like a premium free pension, 30 days annual leave, and several discounts on a collective health insurance and even on some of our products. In the Netherlands, we also offer a hybrid working environment which enables each team to meet our people's desire for flexibility.
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