Job Title: Computational Scientist

Location: Cambridge, MA ( Hybrid)

About the Job

At Sanofi, we're committed to providing the next-gen healthcare that patients and customers need. It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Unstructured Data Search Team as a Computational Scientist and you can help make it happen. Your job?

You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.

• AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
  
• Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.
  
• World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets
  

• Develop, implement, test and refine advanced ML methods for the processing, analysis, modeling integration and visualization of large-scale biomedical and chemical data.
  
• Develop deep learning models for small molecule design
  
• Apply data science expertise in machine learning, statistics, NLP, forecasting and optimization to multiple analytics projects.
  
• Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies.
  
• Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models.
  
• Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products.
  
• Work with developers, engineers, and MLOps to deliver AI/ML solutions to product teams.
  

• Bachelors or Advanced degree (MS/PhD) in computer science, machine learning, computational biology, computational chemistry, mathematics or a related quantitative discipline with strong coding skills.
  
• Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
  
• Expertise within many of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series analysis, Bayesian statistics, optimization.
  
• Experience developing deployable code and deploying models in product-focused development under an agile environment.
  
• Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark).
  
• Experience in production-ready software development.
  
• Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
  
• A demonstrated ability to work and collaborate in a team environment.
  
• Strong interest in the use of ML methods in the life and medical sciences to improve patient lives.
  
• Nice to have: Experience in life sciences and healthcare and experience in a complex global organization.
  
• Expertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL).
  
• Disciplined AI/ML development (CI/CD, Orchestration).
  
• Experience with various enterprise-level Application Programming Interfaces (APIs).
  

• 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 andwellness programs and at least 14 weeks' gender-neutral parental leave.