Senior Statistical Modeler - Big Data

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 Moder - Big Data Machine Learning within our Clinical Modeling and Evidence Integration team / Hyderabad, you will implement data cohort creation, data insights and predictive or machine learning models with Big Data (such as large observational study results, electronic health records, Real World Evidence studies) to generate clinical development relevant insights and decision supports.

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:

Create the cohorts of interest from the big data sources (i.e. electronic health records).

Provides data visualization and summaries reports.

Implement clinical machine learning models to bridge RWE and clinical inference.

Collaborate with cross-functional teams to address scientific questions with integrated RWE and clinical insights.

Assist and may work under the direction of clinical modelers.

About you

Experience:

Machine learning skills. Experience/Knowledge in Causal inference methods is a plus.

Excellent Python and/or R programming skills are required. Experience in 'tidymodels' framework is a plus.

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: MS in statistics, Machine Learning, Data Science, mathematics or other related disciplines

Languages: R, Python, Julia. SAS is a plus.