Computational Scientist

Reference No. R2831285

About the Job

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams.

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.

Sanofi has recently embarked on 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 to accelerate R&D, manufacturing and commercial performance, and bring better drugs and vaccines to patients faster, to improve health and save lives.

In alignment to our digital transformation, we have launched strategic initiatives under the umbrella of the Biologics x AI Transformation. This is positioned to be a unique data-driven team, with expertise in AI platforms, data engineering, ML operations, data science, computational biology, strategy, and beyond. We are working as one to identify, design, and scale state-of-the-art AI capabilities targeted to truly transform how we research biologics.

About the Role:

In this role you will be a dynamic individual contributor looking to apply cutting-edge computation, machine learning / deep learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics.

You are an expert Computational Scientists with strong engineering skillsets who will work with other scientists and engineers to apply cutting-edge computation, Machine Learning/Deep Learning, and data engineering approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics.

About Sanofi:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities:

• Apply and develop artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, deep learning, foundation models, diffusion models, flow matching etc) on pharma research data sets (e.g. activity, function, ADME properties, physico-chemical properties, etc.)

• Building models from internal and external data sources, algorithms, simulations, and performance evaluation by writing clean code and using state-of-the art machine learning technologies.

• Close interactions with other Computational scientists, data engineers, software engineers, UX designers, as well as research scientists in core scientific platforms focusing on protein therapeutics, in an international context.

• Update and report relevant results to interdisciplinary project teams and stakeholders

• Maintain a keen awareness of recent developments in data science and bioinformatics and state-of-the-art of AI/ML/DL algorithms and research results Contributor to our code repositories by developing code, reviewing colleagues’ code, debugging our systems etc.

About You

• Advanced degree (e.g. M.Sc., PhD) in a field related to AI/ML or Data Analytics such as Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences.

• Track record of applying ML/Deep Learning (DL) approaches to solve molecule-related problems.

• Strong familiarity with protein structure or sequence featurization/embeddings.

• Strong familiarity with advanced statistics, ML/DL techniques including various network architectures (CNNs, GANs, RNNs, Auto-Encoders, Transformers, PLM etc.), regularization, embeddings, loss-functions, optimization strategies, or reinforcement learning techniques.

• Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, Keras, Scikit-learn, Numpy, Matplotlib.

• Strong familiarity with data visualization and dimensionality reduction algorithms

• Ability to develop, benchmark and apply predictive algorithms to generate hypotheses

• Comfortable working in cloud and high-performance computational environments (e.g. AWS)

• Excellent written and verbal communication, strong tropism for teamwork

• Strong understanding of pharma R&D process is a plus.

• A change agent with a combination of business, science & technology, and diplomatic skills

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

This position is for a current vacant role that we are actively hiring for.

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.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.