Job DescriptionReference No. R2796167Position Title: Data EngineerDepartment: Data EngineeringLocation: Toronto, ONAbout 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 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 that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives.You are a dynamic Data Engineer interested in challenging the status quo to design and develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards. 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 skillsetsMain Responsibilities:Propose and establish technical designs to meet business and technical requirementsDevelop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologiesCreate data pipelines / ETL pipelines and optimize performanceTest and validate developed solution to ensure it meets requirementsCreate design and development documentation based on standards for knowledge transfer, training, and maintenanceWork with business and products teams to understand requirements, and translate them into technical needs Adhere to and promote to best practices and standards for code management, automated testing, and deploymentsLeverage existing or create new standard data pipelines within Sanofi to bring value through business use cases Develop automated tests for CI/CD pipelinesGather/organize large & complex data assets, and perform relevant analysis Conduct peer reviews for quality, consistency, and rigor for production level solutionActively contribute to Data Engineering community and define leading practices and frameworksCommunicate results and findings in a clear, structured manner to stakeholdersRemains up to date on the company’s standards, industry practices and emerging technologies About YouKey Functional Requirements & Qualifications:Experience working cross-functional teams to solve complex data architecture and engineering problems Demonstrated ability to learn new data and software engineering technologies in short amount of timeGood understanding of agile/scrum development processes and conceptsAble to work in a fast-paced, constantly evolving environment and manage multiple priorities Strong technical analysis and problem-solving skills related to data and technology solutionsExcellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leadersPragmatic and capable of solving complex issues, with technical intuition and attention to detail Service-oriented, flexible, and approachable team player Fluent in English (Other languages a plus)Key Technical Requirements & Qualifications:Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 4 to 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/DbtUnderstanding of data structures and algorithmsWorking knowledge of scripting languages (Python, Shell scripting)Experience in cloud-based data platforms (Snowflake is a plus)Experience with job scheduling and orchestration (Airflow is a plus)Good knowledge of SQL and relational databases technologies/conceptsExperience working with data models and query tuningNice to haves:Experience working in life sciences/pharmaceutical industry is a plusFamiliarity with data ingestion through batch, near real-time, and streaming environmentsFamiliarity with data warehouse concepts and architectures (data mesh a plus)Familiarity with Source Code Management Tools (GitHub 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. R2794384Position Title: Platform Engineer – HPC & Scientific ComputingDepartment: Scientific Computing 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.We are seeking a highly skilled Data Platform Engineer with deep expertise in AWS cloud infrastructure, High performance computing (HPC) and network architecture to support our scientific research activities in North America. The ideal candidate will have strong proficiency in cloud-based system operations, including orchestration, automation, and network security, with a focus on supporting scientific computing workloads. This role involves direct engagement with R&D and business stakeholders, collaborating to understand scientific needs, and designing tailored, scalable, and secure infrastructure solutions. The candidate should be adept at managing both cloud-native and hybrid environments, troubleshooting complex networking issues, and optimizing cloud-based scientific workflows.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:o Lead and support meetings with researchers and R&D teams, helping deploy, scale, and troubleshoot cloud-based applications for computational workloads related to scientific research activities.o Act as a key point of contact for business and scientific users, translating technical concepts into business-relevant outcomes and vice versa.o Prepare and conduct meetings autonomously with cross-functional stakeholders, capturing requirements, aligning priorities, and presenting progress in a clear and structured manner.o Manage and secure AWS cloud environments (VPC, Transit Gateway, Direct Connect, Route 53) and its integration to the Sanofi environment (Zscaler/firewalls) .o Implement and troubleshoot network architectures, ensuring high availability, low latency, and security compliance across cloud-based and hybrid infrastructures.o Automate infrastructure deployment and management using Infrastructure as Code (IaC) tools such as Terraform, AWS CloudFormation, or CDK.o Develop and manage Kubernetes clusters and containerized workflows to facilitate scientific computing workloads.o Implement CI/CD pipelines for automating infrastructure updates and application deployments, ensuring minimal downtime.o Monitor, optimize, and troubleshoot cloud and hybrid environments, ensuring efficient resource utilization and cost-effectiveness.o Manage access control policies ensuring compliance with security best practices.o Support hybrid connectivity, and routing configurations across cloud and on-prem environments.o Assist researchers in deploying, scaling, and troubleshooting cloud-based applications for computational workloads through HPC schedulers.o Stay updated with the latest advancements in cloud networking, security, and DevOps methodologies, recommending improvements to optimize research infrastructure.About YouRequired Skills and Experience:o Extensive experience managing cloud infrastructure, particularly in AWS (EC2, VPC, FSx for Lustre, EKS, Lambda, RDS, DynamoDB, S3, CloudFront, etc.).o Strong understanding of networking concepts, including subnetting, routing, NAT, VPNs, Transit Gateway, BGP, DNS, load balancing, and firewall rule management.o Expertise in Infrastructure as Code (IaC) tools, such as Terraform (preferred), CloudFormation, CDK.o Experience with containerization and orchestration technologies (Docker, Kubernetes).o Experience with working with Schedulers (Slurm, PBS, Grid Engine…) and applications wrapperso Strong automation and scripting skills in Python, Bash for infrastructure and operational tasks.o Experience with CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins, ArgoCD, etc.).o Knowledge of identity and access management (IAM, SSO, MFA…) for securing cloud environments.o Experience in monitoring and logging tools such as CloudWatch, Prometheus, Grafana, Datadog.o Strong problem-solving skills with the ability to troubleshoot networking and infrastructure issues across complex environments.o Excellent communication and interpersonal skills, with a proven ability to engage directly with researchers and business stakeholders, lead meetings independently, and translate complex technical topics into clear actionable insights.o Bachelor’s or Master’s degree in Computer Science, Engineering, Systems Engineering, Computer Information Systems or a related field.Preferred Qualifications:o AWS Certified Solutions Architect, DevOps Engineer, or Advanced Networking Specialty certifications.o Experience with other cloud platforms (Google Cloud, Azure).o Familiarity with zero-trust security models and cloud-native security best practices.o Experience with scientific computing and R&D workflows (Cellranger, Nextflow, R/RStudio.o Hands-on experience with policy-as-code tools (HashiCorp).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. R2799337Position Title: Specialist, QA - QC and E and MDepartment: QA Operations Support -TS, SC, DistDuration: Fixed term Contract End Date: November 27, 2026Location: Toronto, OntarioAbout the JobWe deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. This role is for a QA Specialist to support in the areas of QC, warehouse and E&M.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:Provides coaching and leadership to shopfloor staff, assuring that processes are executed effectively, compliantly and thereby enabling and promoting a Quality culture.Partners with production and operates with strong process knowledge and risk-based decision making, required on the shopfloor to support cGMP compliance.Responsible for timely and thorough deviation investigations, guiding the investigation team as required throughout the investigation process (problem definition, scope, investigation strategy, RCA, CAPAs) and ensures that batch decisions are compliance and science-based, and supported by strong data driven justification.Ensures timely review and approval of deviations, SOPs, CAPAs, ERs and other GxP documents such as Master Batch Production Records, operational log books, sterilization and depyrogenation records, work orders, worksheets, maintenance task lists, change control assessments and approvals, and protocols/ reports that are within the scope or delegated.Participates as QO Representative at various committees and boards such as: Sanofi Pasteur Change Control Board, Deviation Review Board, +QDCI, FFast, etc.Participates in self-inspections, periodic internal reviews/audits to ensure compliance procedures are followed, and participates in external audits/inspections Identifies and mitigates risks, and leads Shopfloor Quality improvement within the APT and more broadly as applicable.Ensures alignment to Global and new Regulatory requirements, participating in gap remediations, compliance and Site Projects as required.Support the OQ Deputy Director (as required) in the following (but not limited to) assessing and approving Process at Risk (PAR) forms, Provision batches in the eBAR for financial month end.About YouEducation and ExperienceBachelor of Science with 5 or more years of relevant experience in pharmaceutical or biological manufacturing.Minimum of 5 years knowledge of quality compliance in a GMP regulated environment.Experience in Engineering/maintenance is preferredExperience in QC is preferred.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-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 DescriptionEgg Handler – Vaccines Flu Manufacturing (Night Shift)Duration: Fixed Term Contract End Date: 11-month contractLocation: 1755 Steeles Avenue West, Toronto, OntarioHourly rate for this position: $35.63There are a total of 6 openings under recruitment to support night-time operations.About the Job:We are seeking up to 6 dedicated and detail-oriented Egg Handlers to join our Vaccines Flu Manufacturing department on an 11-month contract. These part-time positions are 30 hours per week, offering a unique opportunity to contribute to world healthcare, while working in a dynamic and supportive environment. If you have a passion for quality and a commitment to excellence, we invite you to apply and become a vital part of our team!We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.Major Responsibilities:Perform and support upstream operations activities.Management of eggs flow through the Flu manufacturing process including receipt of egg deliveries. inspection and egg waste handling.Maintain Good Manufacturing Practices (GMP) compliance through process improvement, housekeeping, inspection readiness activities and other duties as assigned such as egg related data collection activities.Maintain safe work environment by following HSE requirements.About You (Minimum Qualifications):High School Diploma Minimum six (6) months of previous relevant work experiencePreferred Qualifications:Previous or current experience in the food, warehouse, assembly and/or manufacturing industries Familiarity with current Good Manufacturing and/or Laboratory Practices Basic mechanical skills, initiative, problem-solving, troubleshooting, communication, interpersonal skills, and stress/time management.Hours Of Work & Working Conditions: Inclusive from Sun, Mon, Weds, Thurs 10pm – 6am.During the period of onboarding and training (approximately 7 weeks) you will be required to work 5 days a week on day shift, Monday through Friday 8:00 AM- 4:00 PM (subject to change based on business needs).Ability to perform repetitive tasks in a manufacturing/laboratory environment including lifting (up to 20kg) and standing for extended periods of time. Must receive an influenza vaccine in order to enter production facilities and perform the required job responsibilities. This is subject to change at any time, and it should not be construed as limiting the right of the company to make such change to meet the requirements of the operation.Why Choose Us?Bring the miracles of science to life alongside a supportive, future-focused team.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.All 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. R2802334Position Title: Senior Data Scientist – VB ProcessesDepartment: VB NA Product and process DSDLocation: Toronto, ON - OnsiteAbout the JobWe deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. Sanofi Global MSAT (Manufacturing Sciences, Analytics, and Technology) acts as a crucial link between our R&D and Manufacturing facilities, playing a vital role in securing the present portfolio and delivering future launches of high-quality and innovative drugs and vaccines. By driving its own transformation, Global MSAT fulfills an important function by providing day-to-day Manufacturing Support, focusing on technical and process aspects, effective Life Cycle Management, process robustness enhancement, and yield improvement to optimize performance. Join our global network and contribute to the launch of 3 to 5 new products annually across various modalities, enabling us to reach and serve more patients and communities. Collaborate with a team of talented and passionate international experts, scientists, and project leaders who are dedicated to inventing, designing, and implementing cutting-edge industrial, chemical, and biological processes, analytical methods, and process modeling, all in support of Sanofi’s best-in-class ambition.Under the leadership of MSAT and in partnership with many other functions (Manufacturing 4.0, Digital, M&S, R&D), the Process Data Science & Digital Transformation (DSD) team is a transversal team driving innovations, developments, expansion, and integration within the MSAT day-to-day operational space. We strongly contribute to designing tomorrow’s industrial biological, chemical, and analytical processes bridging from R&D to industrial space.The Viral and Bacterial (VB) Platform within the DSD organization is dedicated to providing data and analytics support to our process and product experts to improve & optimize M&S process performance to reach CMC and BOI ambitions and to capture meaningful insights and turn them into competitive advantages.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 development and maintenance of Process Analytical Technology (PAT) models for viral and bacterial drug substances, ensuring robustness, scalability, and alignment with manufacturing needs.Integrate domain knowledge in cell fermentation and purification with process analytics to generate insights that are operationally relevant and impactful to process performance.Apply advanced statistical analysis, AI, and ML to interpret complex datasets (e.g., text, time series, spectral, and discrete data) and generate actionable insights.Collaborate with cross-functional stakeholders to drive data-informed decisions that optimize processes and enable proactive problem-solving.Work closely with Data Engineering to build and maintain reliable, compliant ETL pipelines that ensure consistent data access and quality.Take ownership of initiatives with minimal supervision, delivering high-quality outcomes through a proactive and collaborative approach.Communicate analytical findings clearly to diverse audiences, promoting understanding and alignment with business objectives.Drive data integrity and governance across data and modeling activities, with a consistent focus on quality and validation throughout all analytical workflows.About YouEducation and Experience:B.Sc., M.Sc., or Ph.D. in Engineering or Science.5 years (with B.Sc. or M.Sc.) or 3 years (with Ph.D.) of industrial experience in process analytics and statistical modeling within pharmaceutical or other manufacturing environments preferred.Strong technical expertise in handling PAT data, including spectral data from Raman, NIR, and gas analyzers, with the ability to preprocess, interpret, and model complex metabolic activities of cells for process understanding and control.Proficient in Python and SQL for data modeling, exploratory analysis, and visualizationExperience with cloud ecosystems such as AWS and Snowflake, along with familiarity with data analysis tools like JMP, SIMCA, and Dataiku.Proven ability to translate mathematical modeling and data analysis into impactful visualizations and actionable insights.Strong knowledge of data historian systems such as PI Asset Framework and Event Frames.Solid experience in data governance and managing complex data workflows, with attention to data integrity and best practices.Effective in managing project delivery under dynamic conditions with a strong customer-centric approach.Skilled in thriving within team-oriented, fast-paced environments, maintaining adaptability and focus on results.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 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-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. R2794599Position Title: Data Product Owner – Research and Transversal Derived 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 Derived Data Products. These include data products built from processed bioinformatic and AI/ML workflow outputs including small molecule and protein optimization, next generation sequencing, and digital pathology workflows. 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 data products, particularly in areas like in vitro screening data, variant stores, and image stores. Understanding of concepts in data modeling 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, AI/ML and/or life sciences. Experience leading data product development in scientific environments, particularly in areas like NGS, proteomics, genomics, or bioinformatics. Strong understanding of data operations toolkits (e.g. DBT, Airflow 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. 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. R2798735Position Title: MLOps EngineerDepartment: MLOps EngineeringLocation: 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. 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. R2794016Position Title: Senior Machine Learning (ML) EngineerDepartment: MLOps EngineeringLocation: Toronto, OntarioAbout Sanofi We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.
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. 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 Job Responsibilities:Design, build, deploy and maintain AI/ML applications (contribution in multiple products) with a strong consideration for scalability, reliability, and securityWork in agile PODs to develop AI/ML products (Owning lifecycle of AI/ML components of the system)Implement automated model training and deployment pipelines adapting and validating via close collaboration with data scientists and data engineersSupport end-to-end lifecycle management (e.g., new releases, change management, monitoring, and troubleshooting) of deployed AI/ML applicationsBuild scalable, robust, and reusable code, as well as processes supporting seamless AI/ML Ops (e.g., app monitoring, troubleshooting, life cycle management, and customer support) experienceWork closely with the product management team in designing solutions and challenging product featuresWork as subject matter expert in MLOps (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs)Mentor junior team members and contribute to the AI engineering center of practice community.Develop Architecture Decision Record (ADR) via cross-functional collaborationBuild 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 needsMaintain effective relationships with app userbase to develop education and communication content as per life cycle eventsResearch and gain expertise on emerging tools and technologies. An enthusiasm to ask questions and try and learn new things is essential About You You are a dynamic experienced Machine Learning 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 a highly collaborative team of tech enthusiasts with experience from the world class tech companies around the world, on a mission to help Sanofi transform into a first-in-class AI-focused data-driven companyYour work will have a tangible positive impact on patients’ lives around the worldHelp bring the miracles of science to life alongside a supportive, future-focused teamDiscover endless opportunities to grow your talent and drive your career, whether it is through a promotion or lateral move, at home or internationallyEnjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impactTake good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks’ gender-neutral parental leave.Play an instrumental part in creating best practice within our manufacturing facilityThis 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.
