Computational Scientist

• Location: Barcelona

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 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. 

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

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