Job Description

Reference No.: R2713383 Position Title: Computational Scientist – (Machine Learning) Digital R&D Large Molecule Research Team Department: Data Strategy Program Management Location: Cambridge, MA About Sanofi: We are an innovative global healthcare company with a mission to improve people's lives through the miracles of science. Our dedicated team across 100 countries works to transform medicine, provide life-changing treatments, and ensure sustainability and social responsibility are at the center of our work. Sanofi is undergoing a digital transformation to accelerate its data transformation and adopt artificial intelligence (AI) and machine learning (ML) solutions in order to enhance research, production, commercial performance, and bring better drugs and vaccines to patients faster. Biologics x AI Transformation Initiative: As part of our digital transformation, we have launched the Biologics x AI Transformation initiative. This initiative aims to create a data-driven team with expertise in AI platforms, data engineering, ML operations, data science, computational biology, and strategy. Our goal is to leverage AI capabilities to transform and improve research on biologics. Who You Are: We are seeking a dynamic Computational Scientist who will work with our team of scientists to apply cutting-edge computation and Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools. Your contribution will accelerate and enhance the process of designing and engineering novel biologics drug candidates. Job Highlights: - Apply and develop artificial intelligence and machine learning approaches (e.g., classification, clustering, deep learning) on pharma research datasets. - Build models using internal and external data sources, algorithms, and simulations. - Collaborate closely with other Computational scientists, data engineers, software engineers, UX designers, and research scientists in an international context. - Update and report relevant results to interdisciplinary project teams and stakeholders. Key Functional Requirements & Qualifications: - Advanced degree (e.g., M.Sc., PhD) related to AI/ML or Data Analytics (Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology, or Engineering Sciences). - Ideally, 1+ years of industry experience applying ML/DL approaches to solve molecule-related problems. - Familiarity with protein structure or sequence featurization. - Familiarity with advanced statistics, ML/DL techniques (CNNs, GANs, RNNs, Auto-Encoders, Transformers, 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. - 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 skills and a strong desire to work in a team. - Understanding of pharma R&D process is a plus. Sanofi is committed to diversity and inclusion. We value and celebrate the diversity of our people, their backgrounds, and experiences, and provide equal opportunities for all. Accommodations for persons with disabilities are available upon request. We thank all applicants for their interest. Only those selected for interviews will be contacted. Note: Sanofi is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals.