time left to apply End Date: February 28, 2025 (26 days left to apply)
job requisition id R2783557
Computational Scientist
Location: Cambridge, UK Hybrid Work - 60% office based, 40% remote 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 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 with our digital transformation, we have launched a new major strategic initiative: the Biologics x AI Moonshot (BioAIM). 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 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:
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.). Build models from internal and external data sources, and evaluate performance by writing code and using state-of-the-art machine learning technologies. Engage closely 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 the state-of-the-art of AI/ML/DL algorithms and research results. Actively engage in evaluation and coordination of both academic and startup collaborations as well as outsourcing partners. About you: PhD degree in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences. Relevant 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, Matplotlib. 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, SageMaker). Excellent written and verbal communication, strong tropism for teamwork. Strong understanding of pharma R&D process is a plus. Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. 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. Why Sanofi
As an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
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Location: Cambridge, UK Hybrid Work - 60% office based, 40% remote 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 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 with our digital transformation, we have launched a new major strategic initiative: the Biologics x AI Moonshot (BioAIM). 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 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:
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.). Build models from internal and external data sources, and evaluate performance by writing code and using state-of-the-art machine learning technologies. Engage closely 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 the state-of-the-art of AI/ML/DL algorithms and research results. Actively engage in evaluation and coordination of both academic and startup collaborations as well as outsourcing partners. About you: PhD degree in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences. Relevant 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, Matplotlib. 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, SageMaker). Excellent written and verbal communication, strong tropism for teamwork. Strong understanding of pharma R&D process is a plus. Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. 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. Why Sanofi
As an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
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