location_0_addressRegionName

location_0_addressCountryName

OFFSITE

UNKNOWN

jobPosting hiringOrganization as json hashed.

ADAPTED_NOW

Research Associate

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This important role will enjoy access to one of the largest computing clusters world-wide, innovation hubs that accelerate technology development and foster multi-disciplinary collaboration with leading institutes, and state-of the art laboratories.

KBSkills

ACTIVE

Aramco energizes the world economy.Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.<div><div style="padding:10px 0px;border:1px solid transparent"><div style="font-size:16px;word-wrap:break-word"><h2 style="font-size:1em;margin:0px">Overview</h2></div><div>We are seeking a Computational Research Expertto join our Research & Development Center (R&DC).  R&DC conducts strategic research, development and demonstration programs in support of Aramco’s drive for innovation.  We are currently pursuing several technology development opportunities in strategic and downstream research. Your primary role is to conduct research on emerging computing technologies and their application to solve grand challenges related CO2 emissions and renewable energy through development of innovative materials.  This important role will enjoy access to one of the largest computing clusters world-wide, innovation hubs that accelerate technology development and foster multi-disciplinary collaboration with leading institutes, and state-of the art laboratories.  </div></div><div style="padding:10px 0px;border:1px solid transparent"><div style="font-size:16px;word-wrap:break-word"><h2 style="font-size:1em;margin:0px">Key Responsibilities</h2></div><div>As the successful candidate you will be required to perform the following: <ul style="margin-bottom:11px"><li>Develop and lead the execution of research projects and/or programs that focus on developing novel technologies in the areas of AI for material discovery and optimization and control. </li><li>Identify collaboration opportunities with leading institutes and organizations to identify technology commercialization opportunities.</li><li>Liaise with key stakeholders to ensure in-house technology options deployment.</li><li>Conduct outlook studies of emerging technologies in the field of accelerated material discovery.</li></ul></div></div><div style="padding:10px 0px;border:1px solid transparent"><div style="font-size:16px;word-wrap:break-word"><h2 style="font-size:1em;margin:0px">Minimum Requirements</h2></div><div><ul style="margin-bottom:11px"><li>You must hold a Bachelor Degree in Computational Science or Engineering. A PhD is preferred.</li><li>You should have at least 5 years of research experience (inclusive of postdoc work). </li><li>You should have a proven track record of conducting advanced technical projects with an ability to connect basic science research with industrial applications.</li></ul></div></div></div>Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Aramco

Computational Research Expert

Alternative Energy

Artificial Intelligence (AI)

Computational Engineering

Emerging Technology

Hubs

Industrial Research

Investment Capital

Laboratory

Research & Development (R&D)

Research Skills

Scientific Research

Strategic Planning

Talent Management

pxappcastusd

Product Owner

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. 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.   .

Reference No. R2794587<div><div><div><div><div><div><div><div><div>Position Title: Product Owner – Research and Transversal AI,ML WorkflowsDepartment:R&D Data Products and PlatformsLocation: Toronto, Ontario</div></div></div></div></div></div></div></div></div>  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:  <ul><li>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. </li></ul><ul><li>Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. </li></ul><ul><li>World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. </li></ul>  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: <ul><li>Lead the development and evolution of digital products that support bioinformatics workflows and ML operations, ensuring they meet scientific, research, and business objectives. </li></ul><ul><li>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. </li></ul><ul><li>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. </li></ul><ul><li>Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development. </li></ul>Collaboration & Stakeholder Management: <ul><li>Work closely with scientists, data engineers, and platform engineers to ensure the product meets both scientific and technical requirements. </li></ul><ul><li>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. </li></ul>Product Delivery: <ul><li>Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations. </li></ul><ul><li>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. </li></ul><ul><li>Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities. </li></ul><ul><li>Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas. </li></ul>Continuous Improvement: <ul><li>Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements. </li></ul><ul><li>Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals. </li></ul>Technical Leadership & Strategic Vision: <ul><li>Bring a deep understanding of scientific workflows in bioinformatics and ML operations, particularly in areas like protein design, folding, and structural chemistry. </li></ul><ul><li>Stay up to date with industry trends, emerging technologies, and bring ideas and solutions to the business to address needs and drive maturity. </li></ul><ul><li>Inspire and lead a team of engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions. </li></ul>  About You Key Functional Requirements & Qualifications: <ul><li>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. </li></ul><ul><li>5+ years in product management, preferably with experience in bioinformatics, life sciences, or AI/ML platforms. </li></ul><ul><li>Experience leading product development in scientific environments, particularly in areas like small molecule and large molecule research. </li></ul><ul><li>Familiarity with cloud environments such as AWS to build and deploy scientific and AI/ML workflows. </li></ul><ul><li>Strong understanding of machine learning operations (ML Ops), particularly in generative AI, protein design, protein folding, and structural chemistry.  </li></ul>Key Technical Requirements & Qualifications: <ul><li>Comprehensive knowledge of Agile methodologies, including experience working in Scrum teams. </li></ul><ul><li>Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related. </li></ul><ul><li>Familiarity with bioinformatics tools and ML frameworks for scientific applications. </li></ul><ul><li>Strong understanding of UX/UI, application design, and data engineering principles. </li></ul><ul><li>Experience with cloud platforms, AI platforms, and data pipelines is a plus. </li></ul> Why Choose Us? <ul><li>Bring the miracles of science to life alongside a supportive, future-focused team.</li><li>Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.</li><li>Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.</li><li>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</li></ul>This 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 <a href="https://myflex-benefits.ca/en/home/" rel="nofollow">be found here.</a>Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent <a href="https://myflex-benefits.ca/fr/home/" rel="nofollow">être trouvées ici.</a>

Sanofi

Product Owner – Research and Transversal AI,ML Workflows

Agile Programming Methodologies

Amazon Web Services (AWS)

Application Framework

Atlassian JIRA

Backlog Prioritization

Bioinformatics

Biology

Business Case

Chemistry

Cloud Computing

Compensation Management

Computer Science

Continuous Deployment/Delivery

Continuous Improvement

Cross-Functional

Customer Acquisition

Customer Satisfaction

Data Analysis

Data Management

Data Science

Diversity

Employee Retention

Establish Priorities

Healthcare

Industry Standards

Industry/Trade Analysis

International Health

Leadership

Leading Edge Technology

Machine Learning

Machining Operations

Manufacturing

Mentoring

Operational Audit

Organizational Skills

Performance Analysis

Performance Management

Process Improvement

Product Data Management (PDM)

Product Development

Product Lifecycle Management

Product Management

Product Planning

Product Programs

Product Strategy

Product Support

Product/Service Launch

Requirements Management

Risk Management

Scrum Project Management and Software Development

ScrumMaster

Small Molecules

Software Administration

Software Design

Software Development

Team Lead/Manager

Technical Leadership

Technical Operations

Technical Strategy

Time Management

Training/Teaching

Translation Services

Use Cases

User Interface Design

User Interface/Experience (UI/UX)

Vaccination

TMP PX

IT Project Manager

Reference No. R2794599<div><div><div><div><div><div><div><div><div>Position 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. </div></div></div></div></div></div></div></div></div>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:  <ul><li>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. </li></ul><ul><li>Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. </li></ul><ul><li>World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. </li></ul>  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: <ul><li>Lead the development and evolution of data products that support bioinformatics and AI/ML workflows, ensuring they meet scientific, research, and business objectives. </li></ul><ul><li>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. </li></ul><ul><li>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. </li></ul><ul><li>Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development. </li></ul>Collaboration & Stakeholder Management: <ul><li>Work closely with scientists and data engineers to ensure the data products meet both scientific and technical requirements. </li></ul><ul><li>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. </li></ul>Product Delivery: <ul><li>Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations. </li></ul><ul><li>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. </li></ul><ul><li>Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities. </li></ul><ul><li>Partner with the data engineering and architecture leads to ensure data products are built according to data operations (DataOps) and standard architectural principles. </li></ul><ul><li>Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas. </li></ul>Continuous Improvement: <ul><li>Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements. </li></ul><ul><li>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. </li></ul><ul><li>Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals. </li></ul>Technical Leadership & Strategic Vision: <ul><li>Bring a deep understanding of scientific data products, particularly in areas like in vitro screening data, variant stores, and image stores. </li></ul><ul><li>Understanding of concepts in data modeling and ontological/semantic data management, including use of CENtree and related ontology management platforms.  </li></ul><ul><li>Inspire and lead a team of data engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions. </li></ul>  About You Key Functional Requirements & Qualifications: <ul><li>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. </li></ul><ul><li>5+ years in product management, preferably with experience in bioinformatics, AI/ML and/or life sciences. </li></ul><ul><li>Experience leading data product development in scientific environments, particularly in areas like NGS, proteomics, genomics, or bioinformatics. </li></ul><ul><li>Strong understanding of data operations toolkits (e.g. DBT, Airflow etc.). </li></ul><ul><li>Strong drive and ability to articulate data product vision and align teams around shared goals. </li></ul><ul><li>Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders. </li></ul><ul><li>Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment. </li></ul><ul><li>Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery. </li></ul>Key Technical Requirements & Qualifications: <ul><li>Solid knowledge of Agile methodologies, including experience working in Scrum teams. </li></ul><ul><li>Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related. </li></ul><ul><li>Strong understanding of data operations (DataOps), data warehousing, and data engineering principles including ETL, Snowflake, DBT, SQL, Python, and Airflow. </li></ul><ul><li>Experience with cloud platforms and data pipelines is required. </li></ul> Why Choose Us? <ul><li>Bring the miracles of science to life alongside a supportive, future-focused team.</li><li>Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.</li><li>Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.</li><li>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</li></ul>This 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 <a href="https://myflex-benefits.ca/en/home/" rel="nofollow">be found here.</a>Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent <a href="https://myflex-benefits.ca/fr/home/" rel="nofollow">être trouvées ici.</a>

Data Product Owner – Research and Transversal Derived Data Products

Architectural Services

Communication Skills

Data Modeling

Data Warehousing

Database Extract Transform and Load (ETL)

Genomics

Next Generation Sequencing (NGS)

Ontology

Pathology

Product Lifecycle

Proteomics

Python Programming/Scripting Language

SQL (Structured Query Language)

Snowflake Schema

Team Player

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. 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.

Reference 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:  <ul><li>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. </li></ul><ul><li>Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. </li></ul><ul><li>World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. </li></ul>  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: <ul><li>Lead the development and evolution of data products that support bioinformatics and AI/ML workflows, ensuring they meet scientific, research, and business objectives. </li></ul><ul><li>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. </li></ul><ul><li>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. </li></ul><ul><li>Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development. </li></ul>Collaboration & Stakeholder Management: <ul><li>Work closely with scientists and data engineers to ensure the data products meet both scientific and technical requirements. </li></ul><ul><li>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. </li></ul>Product Delivery: <ul><li>Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations. </li></ul><ul><li>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. </li></ul><ul><li>Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities. </li></ul><ul><li>Partner with the data engineering and architecture leads to ensure data products are built according to data operations (DataOps) and standard architectural principles. </li></ul><ul><li>Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas. </li></ul>Continuous Improvement: <ul><li>Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements. </li></ul><ul><li>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. </li></ul><ul><li>Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals. </li></ul>Technical Leadership & Strategic Vision: <ul><li>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. </li></ul><ul><li>Understanding of concepts in reference data and ontological/semantic data management, including use of CENtree and related ontology management platforms.  </li></ul><ul><li>Inspire and lead a team of data engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions. </li></ul>  About You Key Functional Requirements & Qualifications: <ul><li>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. </li></ul><ul><li>5+ years in product management, preferably with experience in bioinformatics and/or life sciences. </li></ul><ul><li>Experience leading data product development in scientific environments, particularly in areas like NGS, proteomics, genomics, or bioinformatics. </li></ul><ul><li>Familiarity with cloud environments such as AWS and Snowflake to build and deploy data products. </li></ul><ul><li>Strong understanding of scientific source systems (e.g. Benchling, GeneData, iLab, etc.). </li></ul><ul><li>Strong drive and ability to articulate data product vision and align teams around shared goals. </li></ul><ul><li>Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders. </li></ul><ul><li>Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment. </li></ul><ul><li>Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery. </li></ul> Key Technical Requirements & Qualifications: <ul><li>Solid knowledge of Agile methodologies, including experience working in Scrum teams. </li></ul><ul><li>Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related. </li></ul><ul><li>Strong understanding of data operations (DataOps), data warehousing, and data engineering principles including ETL, Snowflake, DBT, SQL, Python, and Airflow. </li></ul><ul><li>Experience with cloud platforms and data pipelines is required. </li></ul> Why Choose Us? <ul><li>Bring the miracles of science to life alongside a supportive, future-focused team.</li><li>Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.</li><li>Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.</li><li>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</li></ul>This 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 <a href="https://myflex-benefits.ca/en/home/" rel="nofollow">be found here.</a>Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent <a href="https://myflex-benefits.ca/fr/home/" rel="nofollow">être trouvées ici.</a>

Data Product Owner – Research and Transversal Core Data Products

Laboratory Notebook

Metadata

Research and Development

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. 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.

Reference No. R2794577<div><div><div><div><div><div><div><div><div>Position 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. </div></div></div></div></div></div></div></div></div>  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:  <ul><li>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. </li></ul><ul><li>Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. </li></ul><ul><li>World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. </li></ul>  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: <ul><li>Define and execute the vision and strategy for R&D platform engineering, aligning with broader R&D business objectives and data strategy needs </li></ul><ul><li>Act as liaison between technical teams and R&D business stakeholders to ensure alignment and prioritization of platform initiatives </li></ul><ul><li>Define, develop, and maintain product development roadmaps for the development of data platforms, including SIPS and SWEL </li></ul><ul><li>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 </li></ul><ul><li>Oversee the architecture, deployment, and maintenance of system integration and software lifecycle platforms </li></ul><ul><li>Lead and participate in technical, design, and product discussions related to the data platform; and communicate complex technical ideas to non-technical stakeholders </li></ul>Technical Data Management: <ul><li>Oversee and directly manage team responsible for technical data management activities </li></ul><ul><li>Work with this team to manage data management needs from the business and provide platform level technical solutions where required </li></ul>Innovation & Team Management: <ul><li>Collaborate with technical and non-technical teams to maximize the value of the data stack and ensure platforms meet analytical and modeling requirements </li></ul><ul><li>Ensure execution across the platform team is predictable, reliable, and sustainable, implementing best practices in engineering processes </li></ul><ul><li>Manage project timelines and priorities to ensure timely delivery of platform engineering outputs </li></ul>  About You Key Functional Requirements & Qualifications: <ul><li>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 </li></ul><ul><li>Proven track record leading successful platform projects across design, development, scaling, and maintenance </li></ul><ul><li>Understanding of R&D business and data environment strongly preferred </li></ul><ul><li>Strong communication between technical and non-technical stakeholders and collaborators </li></ul><ul><li>Demonstrated team leadership, mentorship, and management skill  </li></ul>Key Technical Requirements & Qualifications: <ul><li>Expertise building large-scale data platforms with supporting data lakes </li></ul><ul><li>Experience with data security, compliance, and regulatory requirements </li></ul><ul><li>Proficiency with data analytics and statistical software (incl. SQL, Python, Java, Excel, AWS, Snowflake, Informatica) </li></ul><ul><li>Expert experience with engineering tools and in programming languages such as Python, R, Java </li></ul><ul><li>Proven expertise in system integration, data streaming, data platform services, and software engineering lifecycle management </li></ul><ul><li>Deep understanding and proven track record managing large-scale platform deployments in a complex R&D environment </li></ul> Why Choose Us? <ul><li>Bring the miracles of science to life alongside a supportive, future-focused team.</li><li>Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.</li><li>Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.</li><li>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</li></ul>This 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 <a href="https://myflex-benefits.ca/en/home/" rel="nofollow">be found here.</a>Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent <a href="https://myflex-benefits.ca/fr/home/" rel="nofollow">être trouvées ici.</a>

Head of R and D Platform Engineering

Best Practices

DevOps

Informatica

Java

Multiplatform/Cross-Platform

Operational Strategy

Process Capability

Product Design

Programming Languages

Project Design

Project/Program Management

R Programming Language

Software Development Lifecycle (SDLC)

Software Engineering

System Integration (SI)

Systems Maintenance

Technical/Engineering Design

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