Job Description

About the job


Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As a

Clinical Modeler Technical Expert - AI/ML

within our Clinical Modeling and Evidence Integration team / Hyderabad, you will lead clinical modeling effort to support projects and clinical studies, develop and implement machine learning and deep learning models for clinical prediction and patient phenotyping, and promote innovative approaches and AI/ML application and industrialization.



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:

Lead M&S support to projects and clinical studies with minimal supervision Develop and implement machine learning and deep learning models for clinical prediction and patient phenotyping Work with various data sources: internal & external clinical studies, studies summary results data (CT.gov) and RWD Collaborate with other clinical modelers and cross-functional teams to integrate AI/ML applications into clinical research strategy Generalize methodology across various therapeutic indications Contribute to the development of an end-to-end analytical framework and AI/ML application industrialization strategy
About you

Experience

: + 6 Years of experience with complex statistical and AI/ML models and applications + Knowledge and experience working with various data types, clinical trial data and large datasets including real world data is a plus
+ Experience in utilizing parallel computing and cloud computing platforms
+ Excellent Python and/or R programming skills are required.
+ Experience using version control systems (eg, Git, GitHub).

Soft and technical skills

: + Good interpersonal and communication skills + Good understanding of statistical concepts. Some knowledge about clinical development is a plus.

Education

: PhD in statistics, computer science, Data Science, mathematics or other related disciplines

Languages

: Python, R, SAS is a plus.

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