R&D
Where your curiosity drives the
miracles of
science
R&D Data Modeling Manager
At a glance
Bring your curiosity to a team where deep immunoscience meets cutting-edge innovation. Across oncology, rare diseases, neurology, and vaccines, you’ll work at the intersection of lab science and AI-powered discovery — all while collaborating across boundaries to turn breakthrough ideas into real-world impact. Whether you want to deepen your scientific expertise or grow as a leader, you’ll find the opportunity here.
About the job
Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life.
As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health.
The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D datastrategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D.Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data areFAIR (findable, accessible, interoperable, and reusable).
Position Summary:
The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability.
Main responsibilities:
Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D)
Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives
Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models
Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions
Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment
Understand data governance policies, standards and procedures for R&D data
Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements
Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation
Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state
Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations
Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions
Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc.
Deliverables
Conduct requirements gathering from business analysts, data scientists, and other stakeholders
Formulate strategies, and query optimizations to enhance data retrieval speed
Develop complex and scalable data models aligned to organization’s long term strategic goals
Formulate data governance frameworks, policies, and standards
Establish best practices for data modeling ensuring interoperability among systems, applications & data sources
3. About you
Experience:5+years of experience in business data management, information architecture, technology or other related field
Functional skills:
Demonstrated ability to understand end-to-end data use and business needs
Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc)
Experience with creating and applying data modelling best practices and naming conventions
Strong analytical problem-solving skills
Demonstrated strong attention to detail, quality, time management and customer focus
Excellent written and oral communications skills
Strong networking, influencing and negotiating skills and superior problem-solving skills
Demonstrated willingness to make decisions and to take responsibility for such
Excellent interpersonal skills (team player)
Technical Skills
Experience with data management practices and technologies (e.g., Collibra, Informatica etc)
Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity
Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required
Experience in big data infrastructures (E.g., Hadoop, NOSQL etc)
Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements
Experience managing technology and/or data warehouse projects
Familiarity with relationship databases and entity-relationship data modelling
Experience with hierarchical data models from conceptualization to database optimization
Education: Bachelor’s in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferred
Languages: English
PursueProgress. Discover Extraordinary.
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Pursue Progress. Discover Extraordinary.
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
Watch 'One day at Sanofi' and check out our Diversity Equity and Inclusion initiatives at sanofi.com
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Why work with us
- Expand your horizons. Grow through curiosity, with support to move, learn, and lead in a culture that champions mentorship, mobility, and bold development.
- Accelerate results with technology. Harness the power of AI and automation to push scientific boundaries and reimagine what's possible in drug discovery.
- Impact through inclusive innovation. Help deliver better science and fairer outcomes by driving inclusive research that reaches more people, in more meaningful ways.
- Turn patient needs into breakthrough science. Drive scientific breakthroughs that start with patient needs—and end in treatments that change lives.
Meet Nils Libert, Associate Scientist
Meet Nils Libert, an Associate Scientist in Belgium, where he plays a key role in advancing groundbreaking research. Learn how his work helps drive innovation, uncover new scientific possibilities, and contribute to life-changing treatments that impact patients around the world.
"At Sanofi, we are building an R&D engine powered by the best science, digital innovation, and a commitment to transforming the lives of patients around the world."
Houman Ashrafian
EVP & Head of R&D
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