Sanofi is seeking to improve health outcomes, support families, enhance clinicians’ experiences, and reduce healthcare costs through data-driven solutions and advanced analytics.
Requirements
- 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, NoSQL).
- Experience with big data analytics platforms or high-level ML libraries (e.g., H2O, SageMaker, Databricks, Keras, PyTorch, TensorFlow, Theano, DSSTNE).
- Experience with Federated Analytics (i.e. FlowerAI)
- Ability to prototype analyses and algorithms in high-level languages (e.g., GitHub, containers, Jupyter notebooks).
- Exposure to NLP technologies and analyses.
- Knowledge of data visualization technologies (e.g., ggplot2, Shiny, Plotly, D3, Tableau, Spotfire)
Responsibilities
- 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.
Other
- 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.
- Excellent knowledge of English language (spoken and written).
- 3 days onsite required in Cambridge, MA
- Ability to collaborate with internal and external data scientists to scope and execute advanced analytics projects.
