We are an innovative global healthcare company, driven by one purpose: chasing 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.

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 a new major strategic initiative in 2023: 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.

Who You Are:

You are a dynamic Computational Scientist who will work with other scientists 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 drug candidates.

Job Highlights:

Apply and develop artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, machine learning, deep learning) 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 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 (US, Europe, China)

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

Active engagement in evaluation and coordination of both academic and startup collaborations as well as outsourcing partners.

Key Functional Requirements & Qualifications:

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.

Proven industry experience with a 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, Matpilotlib.

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.

Pursue . Discover .

Visas for those who do not already have the right to work in the UK will be considered on a case by case basis according to business needs and resources.

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

We are proud to be a Disability Confident Employer and committed to offering an interview to candidates who request to be considered under the Scheme and meet the minimum requirements required for this role.

#LI-EUR

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.

Computational Scientist – (Machine Learning) Digital R&D Large Molecule Research

Others also viewed

Research engineer Metallurgist

Computational Science Manager – Digital R&D Large Molecule Research

Computational Scientist – (Machine Learning) Digital R&D Large Molecule Research