Overview In this role you serve as the IT solution owner for the R&D; Data Science team, partnering with bioinformatics, molecular modelling and AI engineering to ensure alignment and effective collaboration. You will own and support Data Science applications, coordinating end-to-end delivery with specialized IT teams and external vendors. You act as the single point of contact for Data Science users, simplifying IT interactions and driving adoption. You will help shape technology capabilities for R&D; Data Science, enabling faster insight and scalable solutions. This position blends science and technology to enable impactful, compliant data-driven research in pharma R&D.;

ResponsabilidadesLead demand intake, service coordination and project delivery for Data Science IT needs with stakeholdersManage software development lifecycle of custom Data Science toolsAct as SPOC for Data Science users to streamline IT interactionsEvolve technology capabilities for R&D; Data Science across platforms and AI/ML workloadsTranslate requirements into IT deliverables with clear scope and timelinesCoordinate governance, security, compliance and risk management for DS solutionsEnsure documentation, knowledge transfer and smooth handover to IT supportMaintain data science system maps and DS-developed software supporting R&D; operationsEnsure backup, data integrity,



security and GxP compliance for systems and pipelinesContribute to cost-efficient technology decisions aligned with long-term R&D; strategyDrive agile project management to accelerate delivery and insight generationRepresent Data Science growth needs in IT planning for scalabilityDesign and evolve end-to-end DS architecture with cross-functional IT teamsOrchestrate cross-functional delivery across Data & AI, Infra & Ops, Security and Digital Solutions Requisitos principales5+ years in R&D; Pharma collaborating with bioinformatics and IT teamsDeep understanding of R&D; Data Science workflows (omics, bioinformatics, AI/ML pipelines, computational modeling)Ability to translate scientific challenges into scalable IT solutionsExperience in HPC, cloud platforms (preferably Azure) or equivalent compute architecturesStrong knowledge of advanced computing environments supporting analytics and simulation workloadsBroad Pharma industry understanding including security and GxP complianceProficiency in Python, Linux, Apache, Postgres, Bash, R, Gitlab, Shiny server, Posit Workbench & Connect, package management and automation, Docker CI/CD, Kubernetes, LakeHouse/DataBricksExperience in end-to-end data and cloud architectures for complex environmentsProven track record leading cross-functional teams including external vendorsExperience managing full solution lifecycles from ideation to production and evolutionAbility to enable innovation while balancing agility with enterprise architectureCross-functional collaborationStakeholder managementStrategic thinkingPythonLinuxApache

📌 IT BUSINESS PROCESS MANAGER - R&D DATA SCIENCE - Almirall (San Feliú de Llobregat)
🏢 Jobrapido
📍 San Feliú de Llobregat