Sanofi is looking to accelerate and improve the process of design and engineering of novel biologics by applying cutting-edge computation, machine learning, and deep learning approaches to revolutionize large molecule computational tools.
Requirements
- 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, Matpilotlib.
- Strong familiarity with data visualization and dimensionality reduction algorithms.
- Ability to develop, benchmark and apply predictive algorithms to generate hypotheses.
Responsibilities
- 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.
- 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.
Other
- Excellent written and verbal communication, strong tropism for teamwork.
- Ability to work in a dynamic and fast-paced environment.
- Strong understanding of pharma R&D process is a plus.
- A change agent with a combination of business, science & technology, and diplomatic skills.
- Advanced degree (e.g. M.Sc., PhD) in a relevant field.
