Principal Data Scientist

Job Title: Principal Data Scientist

Location: Cambridge, MA (3 days onsite required)

About E.D.G.E.: Sanofi’s E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in healthcare and incubates data-driven solutions to improve health outcomes, support families, enhance clinicians’ experiences, and reduce healthcare costs. We are actively incubating multiple concepts to improve lives globally, especially for underserved populations.

We are seeking a Principal Data Scientist to provide expertise in modeling and data analytics to support various projects, including predicting disease onset using non-traditional data and approaches. This role involves employing advanced analytical and computational methods to drive data-centric and evidence-based product development.

We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams are determined to deliver a best-in-class customer experience using the best of digital, artificial intelligence and personal know-how. With a focus on immunology that extends to innovation in diabetes and transplant medicines, we pursue progress to make a real impact on millions of patients around the world.

Sanofi is a global leader in healthcare, dedicated to improving lives through scientific innovation. Our mission is to chase the miracles of science to improve people’s lives. We are expanding across borders and transforming healthcare for all. People are the most critical ingredient to our success.

• Provide scientific and technical leadership in machine learning and AI.
• Act as a subject matter expert in machine learning, statistical modeling, and mentoring junior colleagues.
• Champion advanced analytics results to non-technical audiences.

• Employ cutting-edge analytical approaches to drive digital, data, and pharmaceutical product development.
• Develop computational and statistical methodologies for advanced analytics.

• Work closely with other disciplines across Sanofi to deliver cutting-edge analysis to key business questions.
• Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modeling, simulation, text-mining/NLP, and data-mining.

• Collaborate with internal and external data scientists to scope and execute advanced analytics projects.
• Support the implementation of patient support strategies alongside other Sanofi teams.

• Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 7+ years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or a PhD degree.
• Experience with advanced ML techniques (neural networks/deep learning, reinforcement learning, SVM, PCA, etc.).
• Ability to interact with large-scale data structures (e.g., HDFS, SQL, No
  
  SQL).
• Experience with big data analytics platforms or high-level ML libraries (e.g., H2O, Sage Maker, Databricks, Keras, PyTorch, Tensor Flow, Theano, DSSTNE).
• Experience with Federated Analytics (i.e. Flower
  
  AI).
• Ability to prototype analyses and algorithms in high-level languages (e.g., Git Hub, containers, Jupyter notebooks).
• Exposure to NLP technologies and analyses.
• Knowledge of data visualization technologies (e.g., ggplot2, Shiny, Plotly, D3, Tableau, Spotfire).
• Excellent knowledge of English language (spoken and written).

• 7 years of work experience using analytics to solve product or business problems.
• Experience with biomedical data types, population health data, real-world data, or novel data streams relevant to the pharmaceutical industry.

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or…