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Job title: R&D Business Capability Manager Associate Location: Hyderabad 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 patientsdaily 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 data strategy, 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 are FAIR (findable, accessible, interoperable, and reusable), Position Summary The R&D Business Capability manager associate serves as the interface between Business and Digital/Data on foundational data capabilities or needs across R&D This role will be responsible for identification of key use cases across R&D, high level data solutioning (e-g , data strategy, governance/standards, management, infrastructure needs etc), and oversight of day-to-day operations for their specific data capability, Main Responsibilities Work in collaboration with R&D Data Office leadership, business, and R&D Digital subject matter experts: Partner with key stakeholders across R&D functions to identify data-related needs and initiatives (e-g , data catalog, master and reference data management, data products, etc ) and design innovative data solutions to support business priorities Partner with R&D Digital stakeholders to oversee data-related activities and verify data functionality from ingest through access Drive program management of initiatives and capabilities; ensure on-schedule/on-time delivery and proactive management of risks/issues Establish ways of working across all partner functions for specifically assigned capabilities/initiatives Examine multidimensional datasets and drive business processes updates to be performed and steer the respective change initiatives Oversee maintenance of documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc for assigned domain Manage and maintain data modelling methodology already established within Data Governance team Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc Participate in the evaluation of new technologies and innovation projects related to information management Manage and evolve current data integration standards policies and procedures, and data quality management services Manage maintenance of data lineage and support root cause analysis and impact assessment on data related topics Define and maintain KPIs on data governance products and services May directly or in-directly lead junior data roles (e-g , data modelers, data stewards, etc ) across end-to-end data activities (ingest through access) Deliverables Develops business case development, requirement identification, and use case development for business functions Implements business process definition, process performance, process execution, process management, and continuous improvement opportunities Drives a culture of operational excellence through a set of fundamental process management practices Collaborates with the Data Stewards to define the key master and reference data elements for business processes About You Experience in business data management, information architecture, technology or another related field Modelling experience with standard tools, Basic programming skills Good knowledge of Pharma cross-industry data standards Familiarity with Pharma R&D processes and technology Ability to build business relationships and understand end-to-end data use and needs Diplomatic and stakeholder management skills across business, technology, and partners 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) People management skills either in matrix or direct line function Education: Bachelors or masters degree in Life Sciences disciplines (Biology, Chemistry, Bioinformatics, Cheminformatics, etc ) Languages: English null

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 patientsdaily 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 data strategy, 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 are FAIR (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 companys 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 organizations long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modeling ensuring interoperability among systems, applications & data sources 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: Bachelors in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferred Languages: English Pursue Progress Discover Extraordinary, Progress doesnt 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 Lets pursue progress And lets 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,! null

Job title: R&D Data Modeling Manager Associate Location: Hyderabad 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 in patientsdaily lives, 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 a strong commitment to developing advanced data standards to increase reusability & interoperability and thus accelerate impact on global health, The R&D Data Office serves as a cornerstone of this effort Our team is responsible for cross-R&D data strategy, governance, and management We partner 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 developing sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable), Position Summary The primary responsibility of this position is to support semantic integration and data harmonization across pharmaceutical R&D functions In this role, you will design and implement ontologies and controlled vocabularies that enable interoperability of scientific, clinical, and operational data Your work will be critical in accelerating discovery, improving data reuse, and enhancing insights across the drug development lifecycle, Main Responsibilities Develop, maintain, and govern ontologies and semantic models for key pharmaceutical domains, including preclinical, clinical, regulatory, and translational research Design and implement controlled vocabularies and taxonomies to standardize terminology across experimental data, clinical trials, biomarkers, compounds, and regulatory documentation Collaborate with cross-functional teams including chemists, biologists, pharmacologists, data scientists, and IT architects to align semantic models with scientific workflows and data standards Map internal data sources to public ontologies and standards to ensure FAIR (Findable, Accessible, Interoperable, Reusable) data principles Leverage semantic web technologies and ontology tools to build knowledge representation frameworks Participate in ontology alignment, reasoning, and validation processes to ensure quality and logical consistency Document semantic assets, relationships, and governance policies to support internal education and external compliance Deliverables Domain-specific ontologies representing concepts such as drug discovery (e-g , compounds, targets, assays), preclinical and clinical studies, biomarkers, adverse events, pharmacokinetics / dynamics, mechanisms of action, and disease models built using OWL/RDF and aligned with public standards Controlled vocabularies & taxonomies for experimental conditions, cell lines, compound classes, endpoints, clinical trial protocols, etc Semantic data models supporting the integration of heterogeneous data sources (e-g , lab systems, clinical trial data, external databases) Knowledge graphs or knowledge maps for semantic integration of structured data from internal R&D systems Mappings to public ontologies, standards, and external knowledge bases like: CDISC, MedDRA, LOINC, UMLS, SNOMED CT, RxNorm, UniProt, DrugBank, PubChem, NCBI Ontology documentation & governance artifacts, including ontology scope, design rationale, versioning documentation, and usage guidelines for internal stakeholders Validation reports and consistency checks, including outputs from reasoners or SHACL validation to ensure logical coherence and change impact assessments when modifying existing ontologies Training and stakeholder support materials: slide decks, workshops, and tutorials on using ontologies in data annotation, integration, and search Support for application developers embedding semantic layers About You Experience: 5+ years of experience in ontology engineering, data management, data analysis, data architecture, or another related field Proven experience in ontology engineering, Proven experience in ontology development within the biomedical or pharmaceutical domain Experience working with biomedical ontologies and standards (e-g , GO, BAO, EFO, ChEBI, NCBI Taxonomy, NCI Thesaurus, etc ) Familiarity with controlled vocabulary curation and knowledge graph construction Demonstrated ability to understand end-to-end data use and business needs Knowledge and/or experience of Pharma R&D or life sciences data and data domains Understanding of FAIR data principles, data governance, and metadata management Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communication 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) Knowledge and experience in ontology engineering and maintenance are required Knowledge and experience with OWL, RDF, SKOS, and SPARQL Familiarity with ontology engineering tools (e-g , Protg, CENtree, TopBraid Composer PoolParty), Familiarity with ontology engineering methodologies (e-g , NeOn, METHONTOLOGY, Uschold and King, Gr?ninger and Fox, etc ) Knowledge and experience in data modeling are highly desired Experience with pharma R&D platforms, requirements gathering, system design, and validation/quality/compliance requirements Experience with hierarchical data models from conceptualization to implementation, bachelors in computer science, Information Science, Knowledge Engineering, or related; Masters or higher preferred Languages: English null