R&D
Là où votre curiosité fait avancer les miracles de la science
R&D Data Modeling Manager
En bref
Mettez votre curiosité au service d’une équipe où l’immunoscience de pointe rencontre l’innovation la plus avancée. Dans les domaines de l’oncologie, des maladies rares, de la neurologie et des vaccins, vous travaillerez à l’intersection entre la recherche en laboratoire et la découverte boostée par l’IA, tout en collaborant au-delà des frontières pour transformer des idées novatrices en impacts concrets. Que vous souhaitiez approfondir votre expertise scientifique ou évoluer en tant que leader, vous trouverez ici l’opportunité de le faire.
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!
Poursuivre le progrès. Découvrir l’Extraordinaire.
Rejoignez Sanofi et entrez dans une nouvelle ère de la science – où votre parcours peut être aussi transformateur que le travail que nous accomplissons. Nous investissons en vous pour que vous alliez plus loin, accélériez votre réflexion et accomplissiez ce qui n’a jamais été fait auparavant. Vous contribuerez à repousser les limites, à bousculer les conventions et à concevoir des solutions plus intelligentes pour les communautés que nous servons. Prêt·e à poursuivre les miracles de la science et à améliorer la vie des gens ? Poursuivons le progrès et découvrons l’extraordinaire – ensemble.
Chez Sanofi, nous croyons dans l’égalité des chances, sans distinction de race, de couleur, d’ascendance, de religion, de sexe, d’origine, d’orientation sexuelle, d’âge, de citoyenneté, d’état civil, de handicap, d’identité de genre ou de tout autre critère protégé par la loi.
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Pourquoi nous rejoindre ?
- Élargissez vos horizons. Grandissez grâce à votre curiosité, avec le soutien nécessaire pour évoluer, apprendre et progresser dans une culture qui valorise le mentorat, la mobilité et le développement ambitieux.
- Accélérez les résultats grâce à la technologie. Exploitez la puissance de l'IA et de l'automatisation pour repousser les frontières de la science et réinventer ce qui est possible en matière de découverte de médicaments.
- Agissez grâce à une innovation inclusive. Contribuez à une science meilleure et à des résultats plus équitables en favorisant une recherche inclusive qui touche plus de personnes, de manière plus significative.
- Transformez les besoins des patients en avancées scientifiques. Faites naître des percées scientifiques qui partent des besoins des patients, et aboutissent à des traitements qui changent des vies.
Rencontrez Nils Libert Associate Scientist
Faites la connaissance de Nils Libert, Associate Scientist en Belgique, où il joue un rôle clé dans l’avancement de recherches de pointe. Découvrez comment son travail contribue à faire progresser l’innovation, à ouvrir de nouvelles perspectives scientifiques et à développer des traitements qui changent la vie des patients partout dans le monde.
"Chez Sanofi, nous construisons un véritable accélérateur de R&D alimenté par la science la plus performante, l’innovation digitale et la volonté de transformer la vie des patients dans le monde entier."
Houman Ashrafian
Vice-Président Exécutif & Responsable R&D
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Nos domaines de recherche prioritaires
Découvrez comment nous réinventons l’avenir de la médecine grâce à l'immunologie, ouvrant la voie à des avancées transversales audacieuses, encore inimaginables il y a dix ans.
Rencontrez nos équipes dans les laboratoires
Poussez les portes de nos labos et écoutez les témoignages scientifiques qui transforment une science de pointe en impact réel, guidés par la curiosité, la collaboration et le sens du collectif.
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