At Sanofi, we chase the miracles of science to improve people's lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people. As one of the leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our products empower self-care, prevent and treat diseases, and help people live better.
The R&D Data & Computational Sciences Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities. Specifically, the Data for New Technologies group focusses on developing AI models to support initiatives involving Digital Biomarkers, Spatial Transcriptomics, Digital Histopathology and other emerging data modalities.
As a Computational Scientist specializing in Digital Biomarkers, you will join a dynamic team committed to advancing strategic and operational digital priorities within R&D. In this role, you will analyze complex, multimodal patient data collected from digital sensors and wearables, integrate these data streams with clinical trial and disease outcomes, and develop robust models that extract clinically meaningful insights. You will contribute to the design and validation of digital biomarkers by creating algorithms that capture patient functioning in real-world settings and by building models that combine multiple data modalities (such as physiology, clinical, imaging, etc.) to deepen disease understanding and support decision-making across programs.
You will have the opportunity to work across multiple digital biomarker initiatives, collaborating closely with clinical, operational, biostatistics, and data teams to transform raw patient-generated data into actionable scientific and clinical insights.
5+ years of experience in data science, machine learning, biomedical data analysis, digital biomarker development, and/or related quantitative fields.
Tagged as: Life Sciences
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