About the job

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 this role you will be a dynamic people manager 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 drug candidates.

Main responsibilities

• 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
• Some years of industry experience with a track record of applying ML/Deep Learning (DL) approaches to solve molecule-related problems is an advantage
• 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  
• Strong knowledge of AWS cloud computing services (Azure & GCP is a plus) 
• Excellent written and verbal communication, strong tropism for teamwork  
• Experience designing, developing, optimizing, and / or maintaining ML/DL approaches to solve molecule-related problems 
• Strong understanding of pharma R&D process is a plus
• Technical knowledge of software application development and agile methodologies 
• Understanding and application of data / digital strategy and governance  
• A change agent with a combination of business, science & technology, and diplomatic skills 

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 is an advantage 
• 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 is a plus
• 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

Pursue progress. Discover extraordinary.

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!

Pursue progress, discover extraordinary

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, ability or gender identity.

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

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.