treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to make a difference on patients' daily life, wherever they live and enable them to enjoy a healthier life.
As a company with a global vision of drug development and a highly-regarded corporate culture, Sanofi is recognized as one of the best medical companies in the world and is pioneering the application of Artificial Intelligence (AI) in the R&D organization including drug discovery,
chemical manufacturing and control, translational research, clinical development, and regulatory document management and submission. Details of the organization and the company's mission and goals can be found on our website (www.
sanofi. us/en/). Overview: Artificial Intelligence (AI) and Machine Learning (ML) algorithms can significantly speed up drug discovery and shorten drug development and identification of patients for clinical trials thereby creating better medicines that save lives. AIML is a critical group in Digital and Data Science (DDS) organization at Sanofi focused on applications of AI/ML in drug design, diseases modeling, drug development, and analysis of outcomes of
clinical trials with multimodal data. The AI/ML team is focusing cutting edge deep learning models in LLM, computer vision, and time series data.
Members in our team come from diverse backgrounds in computational sciences and engineering with deep expertise in AI/ML, deep learning, and algorithmic analysis of data. We are looking for an AI/ML Engineer with a strong background in software development and deep learning applications for our AIML group at Sanofi R&D. The responsibilities of the data scientist in AI and Deep Analytics will include: Develop, train, and deploy machine learning models using Python and deep learning frameworks (e. g. Tensor Flow, Py Torch).
Collaborate with cross-functional teams to define project requirements and deliver AI solutions that meet business objectives. Implement and maintain CI/CD pipelines for model deployment and ensure seamless integration with Git Hub. Utilize experiment tracking tools such as MLflow and Weights & Biases to monitor and optimize model performance. Follow best software development practices to ensure code quality, maintainability, and scalability. Stay up-to-date with the latest developments in AI and machine learning, and apply them to real-world projects. Qualifications & Requirements: A Ph D degree or Masters in Computer Science, Information and Engineering Sciences, Applied Mathematics or Applied Sciences with an emphasis on machine learning and deep learning Preferable experience of 1-3 year(s) for Ph.
D or 3-5 years for MS with a strong record of accomplishments and project experience in applications of AI/MLExpertise in Deep Learning architectures including CNNs, RNNs, GNN's, Embeddings, Transfer Learning, Attention-based Networks, Transformers. Familiarity with experiment tracking tools such as MLFlow or Wand BSolid understanding of software engineering practices, including code review and testing.
Proficient with Git Hub for version control and collaborative development. Proficient with Python development Strong knowledge of CI/CD principles and experience with setting up pipelineinteractionpertise in at least one deep learning libraries such as Py Torch and Tensor Flow The ability to work with APIs and multi-GPU machines on the cloud A change agent with a combination of business, science & technology, and diplomatic skills At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers.
We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. As part of its diversity commitment, Sanofi is welcoming and integrating people with disabilities. 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; interaction, gender, gender identity or expression; affectional or interactionual 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.
#GD-SA #LI-SAAt Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values.
We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. Job Title: AI Engineer Reports To: Senior AI and Machine Learning Scientist Department: AI/ML, Data & Data Sciences, R&D Location: Cambridge, MA (USA) About the Company: Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care.
From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to make a difference on patients' daily life, wherever they live and enable them to enjoy a healthier life. As a company with a global vision of drug development and a highly-regarded corporate culture, Sanofi is recognized as one of the best medical companies in the world and is pioneering the application of Artificial Intelligence (AI) in the R&D organization including drug discovery, chemical manufacturing and control, translational research, clinical development, and regulatory document management and submission.
Details of the organization and the company's mission and goals can be found on our website (www. sanofi. us/en/). Overview: Artificial Intelligence (AI) and Machine Learning (ML) algorithms can significantly speed up drug discovery and shorten drug development and identification of patients for clinical trials thereby creating better medicines that save lives.
AIML is a critical group in Digital and Data Science (DDS) organization at Sanofi focused on applications of AI/ML in drug design, diseases modeling, drug development, and analysis of outcomes of clinical trials with multimodal data. The AI/ML team is focusing cutting edge deep learning models in LLM, computer vision, and time series data. Members in our team come from diverse backgrounds in computational sciences and engineering with deep expertise in AI/ML, deep learning, and algorithmic analysis of data.
We are looking for an AI/ML Engineer with a strong background in software development and deep learning applications for our AIML group at Sanofi R&D. The responsibilities of the data scientist in AI and Deep Analytics will include: Develop, train, and deploy machine learning models using Python and deep learning frameworks (e. g. Tensor Flow, Py Torch). Collaborate with cross-functional teams to define project requirements and deliver AI solutions that meet business objectives. Implement and maintain CI/CD pipelines for model deployment and ensure seamless integration with Git Hub.
Utilize experiment tracking tools such as MLflow and Weights & Biases to monitor and optimize model performance. Follow best software development practices to ensure code quality, maintainability, and scalability. Stay up-to-date with the latest developments in AI and machine learning, and apply them to real-world projects. Qualifications & Requirements: A Ph D degree or Masters in Computer Science, Information and Engineering Sciences, Applied Mathematics or Applied Sciences with an emphasis on machine learning and deep learning Preferable experience of 1-3 year(s) for Ph.
D or 3-5 years for MS with a strong record of accomplishments and project experience in applications of AI/MLExpertise in Deep Learning architectures including CNNs, RNNs, GNN's, Embeddings, Transfer Learning, Attention-based Networks, Transformers. Familiarity with experiment tracking tools such as MLFlow or Wand BSolid understanding of software engineering practices, including code review and testing. Proficient with Git Hub for version control and collaborative development. Proficient with Python development Strong knowledge of CI/CD principles and experience with setting up pipelineinteractionpertise in at least one deep learning libraries such as Py Torch and Tensor Flow The ability to work with APIs and multi-GPU machines on the cloud A change agent with a combination of business, science & technology, and diplomatic skills At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values.
We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.
As part of its diversity commitment, Sanofi is welcoming and integrating people with disabilities. 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; interaction, gender, gender identity or expression; affectional or interactionual 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.
#GD-SA #LI-SAAt Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers.
We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. PDN-9abfa044-192b-49eb-8636-59456303bcd1
Engineering jobs encompass a broad range of professions that involve the application of science and mathematics to solve problems and design, construct, and maintain structures, devices, and systems. These jobs are characterized by creativity, analytical skills, and the pursuit of technological innovation. Engineers can specialize in various fields, such as civil, mechanical, electrical, software, or biomedical engineering, each with its distinctive focus and techniques. A hallmark of engineering roles is their impact on shaping our built environment and the way we interact with technology, making them crucial for the advancement and sustainability of modern societies.
Engineering jobs encompass a vast array of specialized roles within the field of engineering, aimed at designing, developing, and maintaining various technological systems and structures. These roles typically require a strong foundation in mathematics and science, and they span across numerous sectors such as civil, mechanical, electrical, and software engineering, among others. The key features of engineering careers include problem-solving, innovation, and the application of practical knowledge to create solutions that can improve people's lives, enhance business operations, or even address global challenges. Engineers often work in teams, collaborate with other professionals, and are at the forefront of technological advancement.
Engineering jobs encompass a vast array of specialized roles within the field of engineering, aimed at designing, developing, and maintaining various technological systems and structures. These roles typically require a strong foundation in mathematics and science, and they span across numerous sectors such as civil, mechanical, electrical, and software engineering, among others. The key features of engineering careers include problem-solving, innovation, and the application of practical knowledge to create solutions that can improve people's lives, enhance business operations, or even address global challenges. Engineers often work in teams, collaborate with other professionals, and are at the forefront of technological advancement.
Engineering jobs encompass roles that involve applying scientific and mathematical principles to design, develop, and maintain structures, machines, materials, systems, and processes. These positions are characterized by innovation, problem-solving responsibilities, and the need for technical expertise. Engineers can specialize in various fields such as civil, mechanical, electrical, chemical, and software, among others. They are essential in shaping the infrastructure of the modern world, formulating solutions to complex challenges, and driving technological advancement. Engineering roles often require a strong educational background combined with practical experience, and they stand out for their contribution to societal progress and potential for career growth.
Engineering jobs encompass roles that involve applying scientific and mathematical principles to design, develop, and maintain structures, machines, materials, systems, and processes. These positions are characterized by innovation, problem-solving responsibilities, and the need for technical expertise. Engineers can specialize in various fields such as civil, mechanical, electrical, chemical, and software, among others. They are essential in shaping the infrastructure of the modern world, formulating solutions to complex challenges, and driving technological advancement. Engineering roles often require a strong educational background combined with practical experience, and they stand out for their contribution to societal progress and potential for career growth.
Engineering jobs encompass a vast array of specialized roles within the field of engineering, aimed at designing, developing, and maintaining various technological systems and structures. These roles typically require a strong foundation in mathematics and science, and they span across numerous sectors such as civil, mechanical, electrical, and software engineering, among others. The key features of engineering careers include problem-solving, innovation, and the application of practical knowledge to create solutions that can improve people's lives, enhance business operations, or even address global challenges. Engineers often work in teams, collaborate with other professionals, and are at the forefront of technological advancement.
Engineering jobs encompass a broad range of careers focused on designing, developing, and maintaining structures, systems, and devices. They are characterized by a strong foundation in mathematics, physics, and technology. Engineers often specialize in fields such as civil, mechanical, electrical, or software, striving for innovation and problem-solving. These roles typically require critical thinking, collaboration, and a relentless pursuit of efficiency and functionality. Engineering careers are instrumental in shaping the future, as they constantly push the boundaries of what's possible in construction, manufacturing, communications, and various other sectors.
Engineering jobs encompass a variety of roles focused on designing, developing, and maintaining structures, machines, and systems. These roles often require a strong foundation in math and science, as well as specialized knowledge in disciplines such as civil, mechanical, electrical, or software engineering. Key features of these jobs include solving technical problems, innovating solutions, and improving functionality and efficiency. Engineers typically work in collaborative environments, bridging theoretical concepts with practical applications to advance technology and infrastructure.
Engineering jobs encompass a variety of roles focused on designing, developing, and maintaining systems or structures. These positions often require strong problem-solving skills, technical expertise, and a solid foundation in mathematics and science. Engineers typically work in fields such as civil, mechanical, electrical, chemical, or software engineering. The unique characteristic of engineering jobs lies in their blend of creativity and practicality, as engineers innovate while ensuring functionality and safety. With the ongoing advancement of technology, engineering roles are also evolving, demanding continuous learning and adaptation.
Engineering jobs encompass a variety of roles focused on designing, developing, and maintaining systems or structures. These positions often require strong problem-solving skills, technical expertise, and a solid foundation in mathematics and science. Engineers typically work in fields such as civil, mechanical, electrical, chemical, or software engineering. The unique characteristic of engineering jobs lies in their blend of creativity and practicality, as engineers innovate while ensuring functionality and safety. With the ongoing advancement of technology, engineering roles are also evolving, demanding continuous learning and adaptation.
Engineering jobs encompass a broad range of professions that involve the application of science and mathematics to solve problems and design, construct, and maintain structures, devices, and systems. These jobs are characterized by creativity, analytical skills, and the pursuit of technological innovation. Engineers can specialize in various fields, such as civil, mechanical, electrical, software, or biomedical engineering, each with its distinctive focus and techniques. A hallmark of engineering roles is their impact on shaping our built environment and the way we interact with technology, making them crucial for the advancement and sustainability of modern societies.
Engineering jobs encompass a vast array of specialized roles within the field of engineering, aimed at designing, developing, and maintaining various technological systems and structures. These roles typically require a strong foundation in mathematics and science, and they span across numerous sectors such as civil, mechanical, electrical, and software engineering, among others. The key features of engineering careers include problem-solving, innovation, and the application of practical knowledge to create solutions that can improve people's lives, enhance business operations, or even address global challenges. Engineers often work in teams, collaborate with other professionals, and are at the forefront of technological advancement.
Engineering jobs encompass a broad range of careers focused on designing, developing, and maintaining structures, systems, and devices. They are characterized by a strong foundation in mathematics, physics, and technology. Engineers often specialize in fields such as civil, mechanical, electrical, or software, striving for innovation and problem-solving. These roles typically require critical thinking, collaboration, and a relentless pursuit of efficiency and functionality. Engineering careers are instrumental in shaping the future, as they constantly push the boundaries of what's possible in construction, manufacturing, communications, and various other sectors.
Engineering jobs encompass a variety of roles focused on designing, developing, and maintaining structures, machines, and systems. These roles often require a strong foundation in math and science, as well as specialized knowledge in disciplines such as civil, mechanical, electrical, or software engineering. Key features of these jobs include solving technical problems, innovating solutions, and improving functionality and efficiency. Engineers typically work in collaborative environments, bridging theoretical concepts with practical applications to advance technology and infrastructure.
