Principal Data Scientist Full-time

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.

Position Overview: 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.

Main 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.

Innovation and Program Development:

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

Operational Oversight:

• 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.

Cross-functional Collaboration:

• 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.

About You:

• 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, 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).
• 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.

Why Choose Us?

• 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 internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.