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You will manage and oversee Product Owners within your specific product line throughout the delivery of the products from ideation and execution through run and scale, overseeing the development and lifecycle management of your portfolio of products, ensuring alignment with R&D business goals and user needs. As the In Silico Translational Disease Modeling Product Line Owner, you will lead the development and delivery of sophisticated modeling platforms that transform how translational scientists understand disease mechanisms, predict drug responses, and identify and analyze biomarkers.

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Reference No. R2806116Position Title: In Silico Translational Disease Modeling Product Line OwnerDepartment: Digital In-silico ResearchLocation: 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 livesThe Digital In-Silico Research team is a key innovation engine within Digital R&D, dedicated to pioneering next-generation digital products that reshape how R&D discovers, designs, and develops new medicines. We harness cutting-edge AI, machine learning, and computational modeling to build transformative in-silico solutions—empowering scientists with predictive insights, streamlining complex workflows, and turning data into decisive action. Our team plays a critical role in accelerating and transform drug discovery and translational research by building AI-powered, in-silico solutions that empower scientists, enhance decision-making, and connect data to action.As the In Silico Translational Disease Modeling Product Line Owner, you will lead the development and delivery of sophisticated modeling platforms that transform how translational scientists understand disease mechanisms, predict drug responses, and identify and analyze biomarkers. Collaborating closely with quantitative pharmacology teams, toxicologists, and translational scientists, you will define the vision, strategy, and roadmap for computational tools that enable mechanistic disease modeling, safety prediction, and biomarker development. Your leadership will ensure these platforms effectively integrate diverse data types to generate actionable insights that accelerate drug development and improve clinical success rates.You will manage and oversee Product Owners within your specific product line throughout the delivery of the products from ideation and execution through run and scale, overseeing the development and lifecycle management of your portfolio of products, ensuring alignment with R&D business goals and user needs. Collaboration across the organization will be key to delivering a portfolio of high-quality products that drive value for Sanofi.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:Demand Intake & Management:<ul><li>Collaborate closely with translational medicine teams to understand their modeling and simulation needs across QSP (Quantitative Systems Pharmacology), toxicology, biomarker analysis or other teams involved in modelling systems to inform clinical development.</li><li>Lead strategic demand ideation for translational modeling platforms, coordinating with disease area experts and quantitative scientists</li><li>Work with team leadership to develop long-term strategy for advancing computational approaches to understand diseases</li></ul>Vertical Product Delivery:<ul><li>Oversee development of integrated modeling platforms that support in depth disease understanding and biomarker identification</li><li>Manage execution of modeling solutions that enable prediction of drug efficacy, safety, and optimal dosing</li><li>Drive product development through required governance with focus on scientific validation and clinical impact</li><li>Ensure proper integration of modeling tools into translational research workflows</li></ul><ul><li>Collaborate with data science teams to implement advanced analytics for complex biological systems; build a culture that fosters knowledge-sharing amongst teams, aiming to resolve any blockers and accelerate product delivery</li><li>Be the voice of the customer to drive the development of AI-powered tools for disease and drug modeling, toxicology and safety prediction, and drug response</li><li>Work with data science teams to ensure proper validation and benchmarking of AI models against experimental data</li></ul>Innovation & Team Management:<ul><li>Act as a change agent for computational approaches in translational medicine</li><li>Stay current on advances in digital tools that support translation disease modelling challenges</li></ul><ul><li>Create a balanced workload for product teams by managing priorities and delivery across products</li><li>Act as the primary escalation point for Product Owners and associated delivery teams</li></ul><ul><li>Serve as key liaison between translational scientists and technical development teams</li></ul> About YouExperience: <ul><li>8-10+ years of experience in product management, computational biology, systems pharmacology, or related field</li><li>Bachelor's Degree Required.</li></ul>Skills:<ul><li>Proven experience in managing computational modeling platforms, particularly in systems biology, pharmacology or translational medicines context</li><li>Strong understanding of translational medicine workflows, including QSP, toxicology assessment, and biomarker development</li><li>Track record of delivering high-impact modeling and simulation tools that demonstrate clear scientific and clinical value</li><li>Experience building and guiding cross-functional teams spanning computational and experimental sciences</li><li>Excellent communication skills with ability to bridge quantitative modeling experts and biological research teams</li><li>Demonstrated ability to lead scientific discussions and workshops with diverse stakeholder groups</li><li>Strong problem-solving skills and ability to translate complex biological problems into computational solutions</li><li>Experience in nurturing relationships with scientists and understanding their quantitative analysis needs</li><li>undefined</li><li>**Note: This role offers opportunities to learn and grow in various aspects of computational biology and drug development.**</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 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 <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

In Silico Translational Disease Modeling Product Line Owner

Analysis Skills

Artificial Intelligence (AI)

Benchmarking

Biology

Biomarkers

Clinical Validation

Communication Skills

Compensation Management

Cross-Functional

Data Modeling

Data Science

Delivery Management

Disease

Diversity

Drug Development

Drug Discovery

Employee Retention

Healthcare

Hubs

International Health

Leadership

Machine Learning

Medical Products

Medicine

Performance Management

Pharmacology

Pharmacovigilance

Predictive Modeling

Problem Solving Skills

Product Development

Product Management

Quantitative Analysis

Research & Development (R&D)

Simulation

Systems Analysis

Team Lead/Manager

Team Player

Toxicology

Translational Research

TMP PX

IT Project Manager

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. 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

Agile Programming Methodologies

Architectural Services

Atlassian JIRA

Backlog Prioritization

Bioinformatics

Business Case

Computer Science

Continuous Deployment/Delivery

Continuous Improvement

Customer Acquisition

Customer Satisfaction

Data Analysis

Data Management

Data Warehousing

Database Extract Transform and Load (ETL)

Establish Priorities

Genomics

Industry Standards

Leading Edge Technology

Manufacturing

Mentoring

Next Generation Sequencing (NGS)

Ontology

Operational Audit

Organizational Skills

Pathology

Performance Analysis

Process Improvement

Product Data Management (PDM)

Product Lifecycle

Product Planning

Product Programs

Product Strategy

Product Support

Product/Service Launch

Proteomics

Python Programming/Scripting Language

Requirements Management

Risk Management

SQL (Structured Query Language)

Scientific Research

Scrum Project Management and Software Development

ScrumMaster

Small Molecules

Snowflake Schema

Strategic Planning

Technical Leadership

Technical Operations

Technical Strategy

Time Management

Training/Teaching

Translation Services

Use Cases

Vaccination

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