Job title: Business Capability Manager Associate
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 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&Ds 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:
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Work in collaboration with R&D Data Office leadership, business, and R&D Digital subject matter experts:
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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 prioritiesPartner with R&D Digital stakeholders to oversee data-related activities and verify data functionality from ingest through access
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Drive program management of initiatives and capabilities; ensure on-schedule/on-time delivery and proactive management of risks/issues
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Establish ways of working across all partner functions for specifically assigned capabilities/initiatives
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Annotate genomic variants (e.g., SNVs, indels, CNVs, SVs) using open source or proprietary tools on relevant databases to assess functional and clinical relevance
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Integrate genomic annotations with pathway databases, transcriptomic data, and disease ontologies to generate hypotheses about target biology and mechanism of action
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Work with multi-omics data sets (e.g., WES, WGS, RNA-seq, scRNA-seq) and curate data pipelines to ensure quality, consistency, and reproducibility of annotations
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Partner with wet-lab scientists, data scientists, and therapeutic area teams to deliver actionable insights for target validation, biomarker discovery, and patient stratification
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Contribute to the development and maintenance of automated workflows, reproducible pipelines and databases
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Document methodologies and present results in internal meetings, reports, and collaborative discussions with cross-functional stakeholders
Deliverables
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Develops business case development, requirement identification, and use case development for business functions
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Implements business process definition, process performance, process execution, process management, and continuous improvement opportunities
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Maintain genomic databases, pipelines, tools and platforms
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About you -
Experience : M.S + 5 years or Ph.D. +3 years hands-on experience in bioinformatics, preferably in a pharma, biotech, or translational research setting
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Proficient in scripting languages (e.g., Python, R, Bash) and bioinformatics tools for genomic annotation
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Solid understanding of human genetics, disease biology, and functional genomics data sets
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Familiarity with ontologies and biological knowledgebases (e.g., GO, KEGG, Reactome, DisGeNET)
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Experience working with NGS data and variant interpretation in the context of drug discovery or precision medicine
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Experience with workflow languages (e.g., Nextflow, Snakemake, WDL), Knowledge of clinical genomics standards (e.g., HGVS nomenclature, ACMG classification)
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Familiarity with target identification and validation pipelines or biomarker discovery programs
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Familiarity with Pharma R&D processes and technology, Ability to build business relationships and understand end-to-end data use and needs
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Diplomatic and stakeholder management skills across business, technology, and partners
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Demonstrated strong attention to detail, quality, time management and customer focus
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Excellent written and oral communications skills, Strong networking, influencing and negotiating skills and superior problem-solving skills
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Demonstrated willingness to make decisions and to take responsibility for such, Excellent interpersonal skills (team player)
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People management skills either in matrix or direct line function, M.S. or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline
