Job DescriptionReference No. R2794577Position Title: Head of R and D Platform EngineeringDepartment: R&D Data Products and PlatformsLocation: Toronto, OntarioAbout the JobOur Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. 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. Join our R&D Data & AI Products and Platforms Team as Head of R&D Platform Engineering and you can help make it happen. Sanofi has recently embarked into 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 save lives. The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities. As the Head of R&D Platform Engineering, you will be a leader on a dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work with data architects and engineers within an agile environment to drive and oversee the design, development, deployment and maintenance of scalable, efficient, and innovative platforms that enable teams to drive solutions and accelerate Data/AI Product development. This will include platforms that enable foundational scientific data management and compute processing capabilities at Sanofi are driven through Scientific Information processing Services (SIPS) and Scientific Workflow Engineering Lab (SWEL). Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. 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: Platform Development and Delivery: Define and execute the vision and strategy for R&D platform engineering, aligning with broader R&D business objectives and data strategy needs Act as liaison between technical teams and R&D business stakeholders to ensure alignment and prioritization of platform initiatives Define, develop, and maintain product development roadmaps for the development of data platforms, including SIPS and SWEL Lead teams of engineers and architects through the design, implementation, and optimization of SIPS and SWEL platforms to support scalable and secure R&D operations and accelerate the delivery of R&D data and AI products Oversee the architecture, deployment, and maintenance of system integration and software lifecycle platforms Lead and participate in technical, design, and product discussions related to the data platform; and communicate complex technical ideas to non-technical stakeholders Technical Data Management: Oversee and directly manage team responsible for technical data management activities Work with this team to manage data management needs from the business and provide platform level technical solutions where required Innovation & Team Management: Collaborate with technical and non-technical teams to maximize the value of the data stack and ensure platforms meet analytical and modeling requirements Ensure execution across the platform team is predictable, reliable, and sustainable, implementing best practices in engineering processes Manage project timelines and priorities to ensure timely delivery of platform engineering outputs About You Key Functional Requirements & Qualifications: Master’s in computer science, engineering, or a related field; 8-10 years of experience in platform engineering, DevOps, or software development and 6+ years in management and leadership roles Proven track record leading successful platform projects across design, development, scaling, and maintenance Understanding of R&D business and data environment strongly preferred Strong communication between technical and non-technical stakeholders and collaborators Demonstrated team leadership, mentorship, and management skill Key Technical Requirements & Qualifications: Expertise building large-scale data platforms with supporting data lakes Experience with data security, compliance, and regulatory requirements Proficiency with data analytics and statistical software (incl. SQL, Python, Java, Excel, AWS, Snowflake, Informatica) Expert experience with engineering tools and in programming languages such as Python, R, Java Proven expertise in system integration, data streaming, data platform services, and software engineering lifecycle management Deep understanding and proven track record managing large-scale platform deployments in a complex R&D environment 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 programsThis position is for a new vacant role that is now open for applications.Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP
#LI-SP #LI-HybridAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
Job DescriptionReference No. R2794587Position Title: Product Owner – Research and Transversal AI,ML WorkflowsDepartment: R&D Data Products and PlatformsLocation: Toronto, Ontario About the JobOur Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. 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. Join our R&D Data & AI Products and Platforms Team as a Data Product Owner and you can help make it happen. Sanofi has recently embarked into 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 save lives. The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities. We are looking for a Product Owner to lead the development of innovative software products supporting Scientific Workflow Engineering in AI/ML. This includes advanced machine learning-based (ML Ops) workflows, including generative AI for protein design, protein folding, and structural chemistry. As the Product Owner, you will be responsible for collaborating with scientists and technical stakeholders, managing the full product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated scrum team composed of data engineers and full-stack platform engineers to deliver high-impact digital products that empower cutting-edge scientific research and innovation. Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. 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: Product Ownership: Lead the development and evolution of digital products that support bioinformatics workflows and ML operations, ensuring they meet scientific, research, and business objectives. Own the product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams. Bridge the gap between scientists and product teams to ensure that outcomes are aligned to business needs and value. The product owner will be a master coordinator, driver, and translator. Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development. Collaboration & Stakeholder Management: Work closely with scientists, data engineers, and platform engineers to ensure the product meets both scientific and technical requirements. Collaborate with senior leaders and cross-functional teams (including R&D, technology, and operations) to ensure alignment and ensure the product strategy is supported by business cases and industry standards. Product Delivery: Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations. Adept at mitigating risks and issues as they arise over the course of product delivery, along with reporting and providing regular product updates to broad forums. Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities. Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas. Continuous Improvement: Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements. Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals. Technical Leadership & Strategic Vision: Bring a deep understanding of scientific workflows in bioinformatics and ML operations, particularly in areas like protein design, folding, and structural chemistry. Stay up to date with industry trends, emerging technologies, and bring ideas and solutions to the business to address needs and drive maturity. Inspire and lead a team of engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions. About You Key Functional Requirements & Qualifications: Master’s degree in computer science, bioinformatics, data science, or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains is a plus. 5+ years in product management, preferably with experience in bioinformatics, life sciences, or AI/ML platforms. Experience leading product development in scientific environments, particularly in areas like small molecule and large molecule research. Familiarity with cloud environments such as AWS to build and deploy scientific and AI/ML workflows. Strong understanding of machine learning operations (ML Ops), particularly in generative AI, protein design, protein folding, and structural chemistry. Key Technical Requirements & Qualifications: Comprehensive knowledge of Agile methodologies, including experience working in Scrum teams. Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related. Familiarity with bioinformatics tools and ML frameworks for scientific applications. Strong understanding of UX/UI, application design, and data engineering principles. Experience with cloud platforms, AI platforms, and data pipelines 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 programsThis position is for a new vacant role that is now open for applications.Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP
#LI-SP #LI-HybridAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
Job DescriptionReference No. R2794597Position Title: Data Product Owner – Research and Transversal Core Data ProductsDepartment: Research & Transversal ProductsLocation: Toronto, Ontario About the JobOur Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. 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. Join our R&D Data & AI Products and Platforms Team as a Data Product Owner and you can help make it happen. Your job? Sanofi has recently embarked into 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 save lives. The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities. We are looking for a Data Product Owner to lead the development of innovative data products supporting Scientific Core Data Products. These include data products built from source data from electronic lab notebook technologies in domains such as in vitro small and large molecule screens, next generation sequencing, proteomics, and digital pathology source systems. As the Data Product Owner, you will be responsible for collaborating with scientists and technical stakeholders, managing the full data product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated scrum team composed of data engineers to deliver high-impact data products that empower cutting-edge scientific research and innovation.. Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. 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: Product Ownership: Lead the development and evolution of data products that support bioinformatics and AI/ML workflows, ensuring they meet scientific, research, and business objectives. Own the data product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams. Bridge the gap between scientists and product teams to ensure that outcomes are aligned to business needs and value. The product owner will be a master coordinator, driver, and translator. Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development. Collaboration & Stakeholder Management: Work closely with scientists and data engineers to ensure the data products meet both scientific and technical requirements. Collaborate with senior leaders and cross-functional teams (including R&D, technology, and operations) to ensure alignment and ensure the product strategy is supported by business cases and industry standards. Product Delivery: Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations. Adept at mitigating risks and issues as they arise over the course of product delivery, along with reporting and providing regular product updates to broad forums. Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities. Partner with the data engineering and architecture leads to ensure data products are built according to data operations (DataOps) and standard architectural principles. Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas. Continuous Improvement: Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements. Ensure that the data products are being used and maintained according to standard principles, and that redundant and/or derived data products are not fragmenting the overall data product landscape. Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals. Technical Leadership & Strategic Vision: Bring a deep understanding of scientific and transversal source systems, particularly in areas like electronic lab notebooks, scientific reference and master data, and scientific metadata. Understanding of concepts in reference data and ontological/semantic data management, including use of CENtree and related ontology management platforms. Inspire and lead a team of data engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions. About You Key Functional Requirements & Qualifications: Master’s degree in computer science, bioinformatics, data science, or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains is a plus. 5+ years in product management, preferably with experience in bioinformatics and/or life sciences. Experience leading data product development in scientific environments, particularly in areas like NGS, proteomics, genomics, or bioinformatics. Familiarity with cloud environments such as AWS and Snowflake to build and deploy data products. Strong understanding of scientific source systems (e.g. Benchling, GeneData, iLab, etc.). Strong drive and ability to articulate data product vision and align teams around shared goals. Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders. Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment. Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery. Key Technical Requirements & Qualifications: Solid knowledge of Agile methodologies, including experience working in Scrum teams. Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related. Strong understanding of data operations (DataOps), data warehousing, and data engineering principles including ETL, Snowflake, DBT, SQL, Python, and Airflow. Experience with cloud platforms and data pipelines is required. 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 programsThis position is for a new vacant role that is now open for applications.Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP
#LI-SP #LI-HybridAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
Job DescriptionReference No. R2794594Position Title: Product Owner – Multi-OmicsDepartment: Research & Transversal ProductsLocation: Toronto, Ontario About the JobOur Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. 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. Join our R&D Data & AI Products and Platforms Team as a Product Owner and you can help make it happen. Your job? Sanofi has recently embarked into 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 save lives. The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities. We are looking for a Product Owner to lead the development of innovative software products supporting Scientific Workflow Engineering in bioinformatics. This includes multi-omic technologies such as Next-Generation Sequencing (NGS), proteomics, and digital pathology advanced machine learning-based (ML Ops) workflows, including generative AI for protein design, protein folding, and structural chemistry. As the Product Owner, you will be responsible for collaborating with scientists and technical stakeholders, managing the full product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated scrum team composed of data engineers and full-stack platform engineers to deliver high-impact digital products that empower cutting-edge scientific research and innovation. Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. 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: Product Ownership: Lead the development and evolution of digital products that support bioinformatics workflows and ML operations, ensuring they meet scientific, research, and business objectives. Own the product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams. Bridge the gap between scientists and product teams to ensure that outcomes are aligned to business needs and value. The product owner will be a master coordinator, driver, and translator. Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development. Oversee the support and coordination of third-party multi-omics tools, including Qiagen ArrayStudio/Lands, Ingenuity Pathway Analysis, and Bioturing, ensuring their integration and continued functionality within our research infrastructure while maintaining a robust CI/CD pipelines using GitHub Actions to manage upgrades and deployments efficiently. Collaboration & Stakeholder Management: Work closely with scientists, data engineers, and platform engineers to ensure the product meets both scientific and technical requirements. Collaborate with senior leaders and cross-functional teams (including R&D, technology, and operations) to ensure alignment and ensure the product strategy is supported by business cases and industry standards. Product Delivery: Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations. Adept at mitigating risks and issues as they arise over the course of product delivery, along with reporting and providing regular product updates to broad forums. Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities. Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas. Continuous Improvement: Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements. Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals. Technical Leadership & Strategic Vision: Bring a deep understanding of scientific workflows in bioinformatics and ML operations, particularly in areas like protein design, folding, and structural chemistry. Inspire and lead a team of engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions. Demonstrate proficiency in managing and integrating third-party tools, including Qiagen ArrayStudio/Lands, Ingenuity Pathway Analysis, and Bioturing, to support ongoing research activities. About YouKey Functional Requirements & Qualifications: Master’s degree in computer science, bioinformatics, data science, or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains is a plus. 5+ years in product management, preferably with experience in bioinformatics, life sciences, or AI/ML platforms. Experience leading product development in scientific environments, particularly in areas like NGS, proteomics, genomics, or bioinformatics. Familiarity with cloud environments such as AWS to build and deploy scientific and AI/ML workflows. Strong understanding of bioinformatics workflows, particularly across a broad range of common workflow languages (e.g. Nextflow, Snakemake, etc.). Hands-on experience with tools including Qiagen ArrayStudio/Lands, Ingenuity Pathway Analysis, or Bioturing. Proven experience managing CI/CD pipelines, specifically using GitHub Actions, to automate deployment, upgrades, and maintenance of third-party applications. Strong drive and ability to articulate product vision and align teams around shared goals. Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders. Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment. Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery. Key Technical Requirements & Qualifications: Solid knowledge of Agile methodologies, including experience working in Scrum teams. Familiarity with bioinformatics tools and ML frameworks for scientific applications. Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related. Strong understanding of UX/UI, application design, and data engineering principles. Experience with cloud platforms, AI platforms, and data pipelines 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 programsThis position is for a new vacant role that is now open for applications.Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP
#LI-SP #LI-HybridAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
Job DescriptionReference No. R2810171Position Title: Director, Strategy and Performance ExcellenceDepartment: R&D Data Products and PlatformsLocation: Toronto, ON (Hybrid - 3 days a week onsite)About the JobOur Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. 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. Join our R&D Data & AI Products and Platforms Team as a Director of Strategy & Performance Excellence and you can help make it happen.Sanofi has recently embarked into 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 save lives.The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.As a Director of Strategy & Performance Excellence reporting to the Head of R&D Data Products and Platforms, you will define and drive the strategic operating model for the R&D Data Products and Platforms organization, including establishing and optimizing the operational structures that enable the R&D Data Product teams to effectively execute against organizational objectives and drive portfolio excellence. You will serve as a strategic advisor and operational leader, responsible for establishing a unified framework for portfolio performance, cross-functional alignment, and enterprise engagement across Sanofi’s global R&D ecosystem. You will lead critical transformation efforts that enable transparency, agility, and measurable business impact at scale.As an individual contributor, you will be responsible for identifying and addressing emerging priorities from leaders inside and outside of the R&D Data Products and Platforms organization. You will facilitate the onboarding and integration of product leaders into new processes, while measuring and communicating the impact of team initiatives to portfolio sponsors and strategic partners. Additionally, you will oversee the recruitment and establishment of a data engineering team within Sanofi’s Hyderabad hub, ensuring effective and Agile ways of working and execution.Our vision for digital, data analytics and AIJoin us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack.·World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsetsWe 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:Drive Portfolio Excellence & Value:Design and lead an integrated performance framework to manage and communicate portfolio value, Progress, and risks across global stakeholders.Own strategic planning processes, milestone setting, and KPI development to ensure alignment with R&D and Digital priorities.Provide executive-level reporting and thought leadership to ensure data and AI investments drive clinical, scientific, and business impact.Ensure clear communication of portfolio value to leaders across Digital and R&D organizations.Facilitate Leadership Alignment & Coordinate Across Stakeholders:Act as a strategic liaison between R&D Data Products and Platforms leadership and executive sponsors across Digital, R&D, and enabling functions.Lead high-impact cross-functional initiatives that improve alignment, prioritization, and decision-making across the R&D data ecosystem.Develop and deliver executive presentations and summaries to senior leadership within and outside of R&D Data products team.Work closely with cross-functional international teams, including data scientists, engineers, and product specialists.Establish Hyderabad Engineering Team:Support the establishment of a data engineering team within Sanofi’s global capability Hyderabad hub for scalable data engineering and data product and platform delivery.Define organizational design, Agile operating models, and delivery governance for global teams.Drive cross-site alignment through coaching, training, and implementation of consistent delivery frameworks and best practices.Streamline Budgeting & Reporting:Oversee multi-year portfolio budgeting, investment tracking, and resource allocation processes.Streamline financial reporting processes to ensure compliance, transparency, and low operational overhead.Serve as a key advisor to senior leadership on funding prioritization and return-on-investment for digital R&D initiatives.About YouKey Functional Requirements & Qualifications:HBSc or BSc in life sciences, business, information systems or similar field; MBA or relevant advanced degree preferred.8-10+ years of experience working in a data or AI strategy, project, or program management role, preferably in the pharmaceutical industry.Strong experience working on enterprise Agile transformation, including the design and implementation of Agile work cadences and ways of working.Background in consulting environment translating requirements between leadership & execution teams across technical and business domains.Understanding of the implementing & operationalizing of enterprise data & AI solutions in the context of data product development.Proven ability to apply structure and analytical rigor to rapidly changing demands and management of multiple priorities.Experience sourcing data engineering talent and standing up self-sufficient Agile teams.Ability to translate technical and business requirements between scientists, data professionals, and business leaders end-to-end for data or AI related products.Ability to rapidly form positive relationships with leaders and effectively manage expectations and requests.A willingness to travel internationally and be on-site, as well as work non-standard hours to ensure alignment between disparate time zones.Excellent written and verbal communication skills leveraging PowerPoint and dashboarding, with an ability to communicate with a broad range of clearly and concisely stakeholders.Key Technical Requirements & Qualifications:Comprehensive knowledge of Agile methodologies.Familiarity with portfolio and performance tools (e.g., Jira, Confluence, Power BI, Tableau).Exceptional executive communication and storytelling skills, especially in synthesizing complex initiatives for senior audiences.Proficiency with Excel and PowerPoint, including the demonstrated ability to develop content for executive leadership.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 programsThis position is for a new vacant role that we are actively hiring for.Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP
#LI-SP #LI-Hybrid #DBBCAAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
Job DescriptionReference No. R2772806Position Title: Salesforce Solution ArchitectDepartment: Patient Services Location: 1755 Steeles Avenue West, Toronto Ontario (3 days a week onsite)About the JobAt 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. Join our Patient Services as a Salesforce Solution Architect and you can help make it happen. Your job? We are seeking a skilled, hands-on Salesforce Solution Architect to join our team. As part of the Patient Services Solution Architecture team, you will lead the design and implementation of comprehensive cutting-edge solutions that deliver best-in-class patient experience, enhance operational efficiency, and drive data-driven decision-making within our organization. The role involves collaborating with cross-functional teams, understanding business requirements, and architecting scalable and robust solutions tailored to the unique challenges of the patient services domain. Your proficiency in designing Salesforce Health Cloud solutions and knowledge of relevant technologies such as Data Warehousing(Snowflake), ETL pipelines and cloud platforms will be key to your success in this role.Join our team of professionals and have a meaningful impact on the quality of patient care and the efficiency of our healthcare operations.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:Lead the design and implementation of Salesforce Health Cloud platform, including architecture design patterns, technology decisions, and alignment of services across partners and internal platforms.Understand and define the architecture for large-scale Patient Support Programs (PSPs), including the patient journey, patient case management, and patient engagement. Ensure alignment with Enterprise architecture strategy and adherence to governance standards.Translate business and technical requirements into an architectural blueprint and design specifications.Responsible for the strategies, processes, and logic to integrate partner services into the overall program (ex. - Benefits Verification, Co-Pay, Dispense, etc.)Support teams of specialized professionals in large-scale programs to successfully deliver projects focused on the patient services domain.Provide architecture direction and oversight of SF Health Cloud implementations and integrations using Snowflake, Informatica, AWS S3, Python, and related technologies.Collaborate with key stakeholders to understand solution requirements as well as business and technical challenges.Participate in the supplier selection process, evaluating the usefulness and cost of products and making appropriate recommendations.Conduct hands-on Proof of Concepts (PoCs) to swiftly verify the feasibility of solutions and present PoC outcomes to technology and business stakeholders.Streamline and simplify the existing patient solution architecture, deliver reusable services, enhance overall system performance, and identify cost-saving opportunities.Proactively identify and capitalize upon opportunities to share/re-use existing components where possible.Collaborate with enterprise and domain architects as well as cross-functional teams to ensure complete and operable solutions that align with business processes.Identify and communicate business, application, and technical risks associated with application implementation.Working closely with project management and delivery teams to review and mitigate any architecture related issues and risks during project execution and lifecycle.Create/maintain architecture artifacts, C4 Model diagrams, and documentation, updating as necessary, and communicating changes clearly and professionally.Provide expert knowledge of technical and application architecture to the various development teams.Create and maintain current and target-state architecture roadmaps aligned with business needs.Manage individual workload and deliver on agreed-upon milestones and date commitments.Communicate effectively, professionally, and routinely with project team members and the solution architecture team regarding project Progress/status and any significant design changes/challenges.Safeguard the integrity and confidentiality of protected health information (PHI) by ensuring strict adherence to security protocols and privacy standards.Ensure Patient Services Agile Dev/Ops alignment to architecture implementation in a compliant and consistent manner.Stay current with industry trends and best practices and evaluate and recommend emerging SFDC technologies.Key Qualifications: Salesforce certified Application and System Architect preferred.Extensive experience in architecting solution using Salesforce OmniStudio. Excellent knowledge of building scalable integrations using Integration Procedures, building custom UX using OmniScripts & Data Raptors.Extensive background in designing, developing, and optimizing Salesforce HealthCloud applications, including understanding of FHIR data integrations, data privacy and security, consent management.Excellent written and oral communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.Proven ability to translate functional requirements into technical/solution design, ensuring alignment with business goals and objectives.Experience providing consumer or patient-facing technologies, understanding the unique challenges and requirements of delivering solutions in this space.Experience with GxP, HIPAA, and GDPR regulations and the ability to ensure compliance with these regulations in the design and implementation of patient solutions.Experience in encryption, data masking and data anonymization techniquesDetail-oriented, customer-driven, and able to work well across time zones on a global team.Ability to work collaboratively as a team player, fostering a positive and productive work environment.Demonstrated professional and reliable behavior, consistently delivering high-quality work and meeting deadlines.Hands-on knowledge of current technology standards/trends coupled with a desire to continually expand personal knowledge/skillsExperience executing cloud-native technologies and API StrategiesStrong experience with agile-based development methodologies, with direct experience as a Solution Architect preferred.Bachelor's degree in a relevant field.Nice to haves:Understanding of the life sciences/pharma industry and its specific data architecture requirements.Experience in relevant SF technologies such as Marketing Cloud, Veeva Meeting/Events, Service Cloud Voice, and Advanced Therapy ManagementExperience with public cloud services such as AWS and Azure.Experience with data warehousing platforms, specifically cloud-based SnowflakeExperience in creating (C4) architecture models to visualize and document the software architecture of systems.Experience with data analytics and visualization platforms like Microsoft PowerBI / Tableau.Familiarity with AI/ML capabilities.Familiarity with Source Code Management and DevOps Tools such as AutoRabbit, GitHub, Terraform, etc.Experience with Informatica iPaaSWhy 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 programsSanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request#GD-SP
#LI-SP #LI-Onsite#DBBCAAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
Job DescriptionReference No. R2776240Position Title: MES Engineer Developer (Full Stack)Department: Digital Capability MESLocation: Toronto, Ontario, Data HubAbout the Job Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready?Sanofi strategic direction is to standardize processes across sites, to embrace the digital transformation of its Manufacturing & Supply perimeter, looking at the opportunity to simplify its current solution landscape and leverage advanced technologies to bring business value. In that context, the MARS program aims to implement the Computer-assisted batch review, enabled by the definition and roll-out of a core Manufacturing Execution System (MES). The MARS (MES Accelerated Roadmap @ Sanofi) program will transform Sanofi plants, improving compliance, cost and cycle time performance. Over the last 3 years, Sanofi has deployed 30 Production sites across 4 GBUs (multiple and different pharmaceutical processes, 18 Weighing & Dispensing & 12 full MES), and a second wave, should start in the coming years (> 50 production sites, pending business case confirmation). This represents a strategic opportunity for Manufacturing & Supply Transformation to: Design standardized end-to-end processes to generate business value and deliver best-in-class solutions to our industrial sites, with a high focus on electronic batch record management (content, execution) & review by exception process; Deliver innovative "state of the art" tools enabling performance for manufacturing processes across the Manufacturing & Supply sites; Allow new generation of deployment – more Agile & business centric Maintain robust and highly available solutions to operate industrial processes efficiently The Manufacturing Execution System (MES) Senior Full stack engineer drives the design, build and lifecycle of global end to end MES solutions (addition of interactive various components working together) as well as operational excellence to meet business needs in an operational and financially efficient manner. You guarantee and promote the right usage of Sanofi Digital and Industrial standards for Processes, Applications and Infrastructure environments. You leverage on Digital Portfolio the Detail Design document, catalogue of services and existing building blocks. You will work in close collaboration with MES Digital Product Owners, MES DevOps Engineers, MES developers, Product lines, Local digital & business teams, Business Process Owners and Archetype leads. You remain up to date on company’s standards, Digital industry practices and emerging standards and contributes to Digital standards maintenance. Main MES system in scope: Siemens MES Opcenter Execution Pharma Product (named MARS for Sanofi) Koerber MES PAS-X Product (named INOVA for Sanofi) Business Processes covered in scope: Master data management (items, users rights, equipments, locations, Workorder…) Master batch record edition & approval (including workflows) Master batch record review & approval (by Exception) Guidances / instructions Production execution Weighing & Dispensing Communication to equipements or scada systems Equipment management Material flow management Traceability / Genealogy Labelling Reporting Articulation with ERP, quality, logistic & shopfloor systems (LIMS, Documentation, Deviation management, Serialisation, OEE…) 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:
Business Alignment: Understand the business requirements (including analytics ones) for the various processes in their domain, be able to challenge, to consolidate and to extrapolate them in order to build solutions expendable to multi-GBU use cases and plant configuration Provide functional & technical leadership during the full lifecycle and ensure adoption and adequate uses of the solution. Maximize customer satisfaction considering also to minimize build and maintenance costs, and risks associated with fulfillment of Business needsPropose innovative Digital solution to address new business needs creating competitive advantage Implement the appropriate services to ensure optimal allocation of all available capabilities People Management: Ensure functional lead & expertise to project teams across the MARS program & the sites Facilitate the transfer of know-how, experience and best practices Contribute to Digital skills development within your domain Delivery and Quality of services: Design and build core solutions as close to standard market solutions as possible,on the basis of state-of-the-art best practices and aiming at aligning processes and enabling industrial efficiency across the different industrial sites of Sanofi. Contribute of the on-time delivery of projects of domain ensuring robust, cost effective solutions while ensuring customer satisfaction, and business value focus Safeguard the proper deployment of core solutions on the different industrial sites Evaluate impact analysis on solution options and assesses and manages associated risks End-to-end business process analysis including integration with partner systems (ERP, other shopfloor systems, automation layers), labelling technologies, and mobile technologiesParticipate in the definition of indicators for performance and quality of service, monitor and communicate themEnsure the compliance of the solutions within the area in relation to legal and regulatory requirements Strategy development and Implementation: Remain current on technology trends and Benchmark with other companies and partners to bring innovative inputs to our solutions, operating models and to our strategyCollaborate with peers (Enterprise Architects, other solution architects, Cybersecurity team, technical architects…) to review solution design and/or introduction of new technology to ensure compliance with Sanofi standardsExplains / presents architecture and technical matters in an understanding way to Digital management team, staff and business stakeholders. Able to explain complex matters in a simple and understandable way Breaks current Gxp Validation established postulates to simplify and adapt to current and next generation technologies & methodologies (Cloud, Service Management, Agile), without Quality regression on documentations and validation processes About You Experience & Knowledge: 10+ years' work experience in Manufacturing/Automation domain Demonstrated experience in a multicultural/multilanguage environment and in a matricial organization.Broad knowledge of Manufacturing Processes in industrial plants Significant MES experience: market standards knowledges (solutions, technologies, integration), process industry within life science / pharmaceutical industries Core Product/Model concept Successful and significant Project Management experience would be a plus Core Skills: Expertise in MES solution Werum PAS-X or Siemens OPCEnter Pharma execution Strong knowledge Manufacturing Execution System, including Master Batch Record and Review by Exception business processes and relevant MES solutions/modules/functionalities Strong Knowledge of pharma industry regulatory context (GxP) Strong communication, and interaction skills. Able to drive change management Knowledge of Solution architecture, infrastructure & integration (AWS, Azure, Windows / Oracle architectures, Middlewares, Cyber Security rules, low code platform as Mendix, mobility technologies...)Knowledge of Digital Development technologies (eg. C#, VBscript, HTML, CSS, Powershell, XML)Knowledge of Reporting tools (eg. Power BI, Crystal reports...)Automation layer (Scada, DCS, PLCs, industrial protocols) Agile mindset, Accountability, reliability Ability to challenge, open minded and active listeningAbility to collaborate and build effective network inside and outside Sanofi Ability to evaluate processes/solution to improve performance and drive continuous improvement Proven vision, ability to anticipate evolutions due to internal and external factors. Education: Engineering or master's in computer science or related field (or equivalent experience) Languages: English Mobility: FrequentWhy 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 The opportunity is an ADDITION Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP
#LI-SP #LI-OnsiteAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
Job DescriptionReference No. R2791160Position Title: MLOps EngineerDepartment: MLOps EngineeringLocation: Downtown Toronto, Ontario, Hybrid (3 days onsite)About the JobOur Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? 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 save lives. 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? About You You are a dynamic MLOps Engineer interested in challenging the status quo to ensure seamless AI/ML Engineering Operations that scale up Sanofi's AI solutions for the patients of tomorrow. You are an influencer and a future leader who has deployed AI/ML solutions with technically robust lifecycle management and infrastructural support. You are deeply interested in improvement opportunities and always thrive to demonstrate ability to deliver using AI/ML Engineering skills while working across the full stack and moving fluidly between programming languages and technologies. Main Responsibilities: Work in an agile development pod to design, build and maintain cloud hosted AI/ML products with automated pipelines that run, monitor, and retrain ML Models Implement automated ML pipelines (e.g., training and inference) working closely with other peers e.g., data scientists and data engineers Support life cycle management of deployed AI/ML apps (e.g., new releases, change management, monitoring and troubleshooting) Work as subject matter expert in MLOps (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs) Build processes and reusable components supporting seamless ML Operations (e.g., app monitoring, troubleshooting, life cycle management and customer support) Walk stakeholders and solution partners through solutions and reviewing product change and development needs Maintain effective relationships with app userbase to develop education and communication content as per life cycle events Research and gain expertise on emerging tools and technologies. An enthusiasm to ask questions and try and learn new things is essential Key Technical Skills University degree (Bachelor, Master or PhD) in Computer Science, Information Systems, Software Engineering, or another quantitative field. Minimum 2 years of experience in building, deploying, monitoring and maintaining AI/ML applications utilizing cloud technologies (e.g., AWS, GCP, Azure, Snowflake etc.). Ability to work across the full stack and move fluidly between programming languages (e.g., Python) and MLOps technologies (e.g. Github, Argo, Metaflow, WandB, Snowflake, AWS SageMaker) Experience in implementing CI/CD pipelines for AI/ML driven app development Experience in building and deploying apps with large scale data and ML pipelines Ability to assess new technologies and compile architecture decision records (ADRs) Experience working in an agile team supporting and working with cross-functional teams Knowledge of relational (e.g., Postgres SQL) and non-relational databases (e.g., Graph database, Vector Database etc.) Experience in visualization technologies (e.g. Python DASH, Tableau, PowerBI) Experience in developing and maintaining backend APIs (e.g. REST) Experience in provisioning cloud infrastructure leveraging Infrastructure as a code tools (e.g.: Docker, Kubernetes, Terraform) Experience in cloud-based ML engineering in an industrial setting within a global organization (technology company preferred) Experience in working within compliance (e.g. quality, regulatory - data privacy, GxP, SOX) and knowledge in cybersecurity 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 programsThis position is for a current vacant role that we are actively hiring for.Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP
#LI-SP #LI-Hybrid#DBBCAAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
Job DescriptionReference No. R2798735Position Title: MLOps EngineerDepartment: MLOps EngineeringLocation: Downtown Toronto, Ontario, Hybrid (3 days onsite)About the JobOur Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. 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 save lives. Our vision for AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory: An extensive portfolio of AI products driving every stage of the company's value chain, from R&D and trials to manufacturing, supply chain, and commercial operations. State-of-the-art Tech Stack: Globally deployed products using a state-of-the-art technology stack. World-Class Mentorship and Training: Collaborate with renowned leaders and academics in AI/ML to enhance your skills and expertise. You are a dynamic MLOps Engineer interested in challenging the status quo to ensure seamless AI/ML Engineering Operations that scale up Sanofi's AI solutions for the patients of tomorrow. You are an influencer and a future leader who has deployed AI/ML solutions with technically robust lifecycle management and infrastructural support. You are deeply interested in improvement opportunities and always thrive to demonstrate ability to deliver using AI/ML Engineering skills while working across the full stack and moving fluidly between programming languages and technologies. 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: Work in an agile development pod to design, build and maintain cloud hosted AI/ML products with automated pipelines that run, monitor, and retrain ML Models Implement automated ML pipelines (e.g., training and inference) working closely with other peers e.g., data scientists and data engineers Support life cycle management of deployed AI/ML apps (e.g., new releases, change management, monitoring and troubleshooting) Work as intermediate level subject matter expert in MLOps (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs) Build processes and reusable components supporting seamless ML Operations (e.g., app monitoring, troubleshooting, life cycle management and customer support) Walk stakeholders and solution partners through solutions and reviewing product change and development needs Maintain effective relationships with app userbase to develop education and communication content as per life cycle events Research and gain expertise on emerging tools and technologies. An enthusiasm to ask questions and try and learn new things is essential About YouKey Technical SkillsUniversity degree (Bachelor, Master or PhD) in Computer Science, Information Systems, Software Engineering, or another quantitative fieldMinimum 3 years of experience in building, deploying, monitoring and maintaining AI/ML applications utilizing cloud technologies (e.g., AWS, GCP, Azure, Snowflake etc.). Ability to work across the full stack and move fluidly between programming languages (e.g., Python) and MLOps technologies (e.g. Github, Argo, Metaflow, WandB, Snowflake) Experience in implementing CI/CD pipelines for AI/ML driven app development Experience in building and deploying apps with large scale data and ML pipelines Ability to assess new technologies and compile architecture decision records (ADRs) Experience working in an agile team supporting and working with cross-functional teams Knowledge of relational (e.g., Postgres SQL) and non-relational databases (e.g., Graph database, Vector Database etc.) Experience in visualization technologies (e.g. Python DASH, Tableau, PowerBI) Experience in developing and maintaining backend APIs (e.g. REST) Experience in provisioning cloud infrastructure leveraging Infrastructure as a code tools (e.g.: Docker, Kubernetes, Terraform) Experience in cloud-based ML engineering in an industrial setting within a global organization (technology company preferred) Experience in working within compliance (e.g. quality, regulatory - data privacy, GxP, SOX) and knowledge in cybersecurity is a plus Soft Skills: Excellent communication skills in English (both verbal and written as your work will require daily communication with teams around the globe). Structured, goal-oriented, and highly motivated. Able to work in a fast-paced, constantly evolving environment and manage multiple priorities. Interpersonal skills to work with technical leaders to define and enhance standards of development in AI engineering. 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 programsPlay an instrumental part in creating best practice within our manufacturing facility This position is for a current vacant role that is now open for applications.Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP
#LI-SP #LI-Hybrid#DBBCAAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
Job DescriptionReference No. R2786378Position Title: Integration Specialist - Informatica/AWS (iCare Exchange Engineer - Integrations)Department: Patient Experience EngineeringLocation: Toronto, OntarioAbout the JobAt 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. The iCare Exchange Engineer lead, is integration lead in the Digital Patient Relationship Management team and is accountable for digital product delivery of identified strategic digital priorities.iCare Exchange is the heart of the iCare Patient relationship management platform supporting Sanofi Patient Programs, with 49 vendor partners and 112 Integrations (API, and Batch). The role supports the iCare Exchange Product Owner focusing on the integration of validated and non-validated platforms for risk management data processing. The ideal candidate will have a strong background in cloud technologies, batch data processing, real-time API integration, and regulatory compliance for pharmaceutical or healthcare systems.The role ensures that our REMS (risk evaluation and mitigation strategies) systems are operating efficiently and in compliance with FDA regulations, while also enabling smooth data flows between various systems leveraging Informatica Cloud, AWS, Python and other Integration tools.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:Lead the design of Digital Patient Experience integration platform for large programs, products, and projects.Acts as Authority and subject matter expert owing standards and practices for iCare Exchange integration platform.Work as part of the Agile teams on large programs, governing, shaping the delivery of projects supporting design, architecture, enhancements, with focus on optimizing business processes, finding business and technical alignments across multiple therapeutic areas where possible.Work closely with external suppliers to ensure solution makes best use of technology and meets business requirements.Drive continuous improvement and innovation assessment of the Patient Support Services solutions built on Informatica Cloud with a patient centric vision.Lead collaborative team working with other areas within Digital to ensure that all solutions are complete, operable, conform to business processes, and meet the business needs with the agreed quality of service.Responsible throughout the entire project lifecycle for the end-to-end solution of the product and compliance with enterprise model.Lead and participate in peer review and quality assurance of project design/architecture artifacts across Digital teams. Report key decisions and implications to the architectural governance forums.Work with Digital teams (Architecture, Security, Compliance, Infrastructure, Data, etc.), business analysts and agile teams to ensure GXP, validated features comply with defined standards, documentation and release with related approvals for Compliance, Legal and Regulatory purposes.Identify and communicate appropriate resource requirements and work breakdown structure based on skills profile and best fit to complete the end-to-end solution design, and work with the program manager to ensure that project plans and finances align with the design.Ensure technology solutions are in alignment with patient services architecture principles and target state.Responsible for ensuring the integrity and privacy of Protected Health Information (PHI).Ensure integration solutions between validated and non-validated systems, ensuring data flows smoothly while adhering to regulatory compliance (21 CFR Part 11, FDA REMS guidelines).Work closely with QA and compliance teams to ensure that all integration processes adhere to the required validation protocols for FDA-compliant systems. Provide documentation and support for system validation, including test scripts, protocols, and traceability matrices.BASIC QUALIFICATIONS:Bachelor’s degree in engineering, Computer science required.Min. 8 years of professional experience; 5+ years of Software engineering and design experience with large scale business applications in a fast-paced iterative development environment. Ideally have 2+ years of relevant pharmaceutical/biotech industry experience.Working knowledge of the regulatory environment (i.e. REMS, GXP, HIPAA, GDPR regulations and validated environments).Proven experience as a technical leader or in a similar role, with a strong background in software development or engineering.Strong experience with integration platforms (Informatica Cloud, AWS/Python, TIBCO), integration experience with Salesforce Technologies, Snowflake, Veeva, custom webservices, API and micro-services is a huge plus.The ideal candidate is expected to carry out core responsibilities with minimal level of supervision for complex tasks and no supervision for more routine matters.Experience managing external vendors.JOB SPECIFIC SKILLS & COMPETENCIES:Lean & Agile practices - JIRA, ConfluenceIntegration Experience - AWS, Informatica, TIBCO, Python, Layer 7, Salesforce technologiesApplication Design & IntegrationCompliance of Computerized systems (REMS, GDPR, PHI, PII, GxP)Patient Service/Healthcare experience desiredTRANSVERSAL SKILLS & COMPETENCIES (SOFT SKILLS):Business AcumenTransversal collaborationCommunicationProblem SolvingDecision MakingCritical ThinkingWhy 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 programsThe opportunity is an ADDITTION.Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP
#LI-SP #LI-OnsiteAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.
