Director Computational Science
hace 1 día

Reference No. R2638178

Position Title : Computational Science Lead

Department : R&D Digital Data & Computational Sciences

About Sanofi :

We are an innovative global healthcare company, driven by one purpose : we chase the miracles of science to improve people’s lives.

Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible.

We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Our vision for digital, data analytics and AI

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions.

This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives.

The Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions.

We measure our insights and products based on how they preform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives.

When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.

If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi.

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 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.

Who You Are :

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.

Key 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, Empowering Life


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.

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