Computational Science Lead

Position Title: Computational Science Lead

Department: R&D Digital Data & Computational Sciences

Location: Sanofi Pasteur Limited, Toronto/Remote

Sanofi Pasteur: The world’s leading vaccine company

Sanofi Pasteur, the vaccines division of Sanofi, is the largest company in the world devoted entirely to human vaccines. Our driving goal is to protect people from infectious diseases by creating safe and effective vaccines.  Our company distributes more than 1 billion doses of vaccine each year, making it possible to vaccinate more than 500 million people across the globe.  Sanofi Pasteur offers the broadest range of vaccines in the world, providing protection against 20 bacterial and viral diseases.

Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.  With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe.

Position Summary:

You are a dynamic data scientist interested in leading a group of ML and software engineers to develop and deploy advanced ML solutions that will change the way biomedical research is performed. We are looking for individuals ready to challenge the status quo to ensure development and impact of Sanofi's AI solutions for developing the drugs and improving the clinical trials that will benefit  the patients of tomorrow.  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.

Our vision for digital, data analytics and ML

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI-first organization. This means:

• AI Factory - Versatile Teams Operating in Cross Functional Pods:Utilizing digital and data resources to develop novel ML products based on our data, data management and our advanced architecture to create an agile, fulfilling and meaningful work environment.

• Leading Edge Tech Stack: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.

Job Responsibilities:

• Lead a team of ML and software engineers to develop, implement, test and refine advanced ML methods for the processing, analysis, modeling integration and visualization of large scale biomedical data.

• Be in close contact with life and medical sciences researchers to discuss project specifications, needs, data, testing and use of the products being developed.

• Use a variety of machine learning, statistics, text-mining/NLP, forecasting and optimization techniques  in multiple analytics projects.

• Build models, algorithms, simulations, and experiments by supervising the writing of 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.

Key Requirements:

• PhD or MSc in computer science, machine learning, computational biology or related area with at least 8 years of experience in working on the development of methods related to life sciences, biomedical data or chemical engineering.

• Demonstrated ability to lead a team of software developers and generate software solutions that are of practical use.

• 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, Data bricks, 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.

• Advanced degree (MS/PhD) in computer science, machine learning, computational biology, mathematics or a related quantitative discipline with strong coding skills.

• Expertise with core data science languages (such as Python, R, Scala), 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).

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants.  Accommodations for persons with disabilities required during the recruitment process are available upon request.

Thank you in advance for your interest.

Only those candidates selected for interviews will be contacted.

Sanofi, Empowering Life

#GD-SP#LI-SP

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.