Job Title: Computational Scientist
Location: Cambridge, MA
About the Job
At Sanofi, we're committed to providing the next-gen healthcare that patients and customers need. It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.
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 savelives.
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.
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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.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
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 sequencefeaturization/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 reductionalgorithms
- Ability to develop, benchmark and apply predictive algorithms to generatehypotheses
- 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 andgovernance
- 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
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.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; 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.
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