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We’re building the future of medical dermatology by focusing on unmet patient needs and giving people the space to think independently, take ownership and make an impact that matters.Our purpose is simple: to transform patients’ lives by addressing real needs. We work with care, act with courage, keep things simple and focus our innovation where it makes a difference.Recognised as a Top Employer in Spain since 2008 and in Germany since 2025, we continue to invest in an environment where people can grow and move forward. If you care differently, you belong here. MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. TASKS AND RESPONSIBILITIES Operational: Lead demand intake, service coordination and project delivery for Data Science-related IT needs in close collaboration with Data Science stakeholders, especially bioinformatics and modelling teams Manage software development lifecycle of custom Data Science tools supporting the acceleration of hypothesis generation and scientific insight creation Act as a Single Point of Contact (SPOC) in IT for Data Science users, reducing complexity by shielding business stakeholders from interacting with multiple IT teams and ensuring seamless coordination across infrastructure, security, data and application domains Partner with relevant IT domains to evolve technology capabilities for R&D Data Science, supporting scientific platforms, advanced computing, omics, multimodal analytics, molecular modelling and AI/ML in line with business priorities Translate, review, and validate Data Science requirements into actionable IT deliverables with clear scope, timelines, and responsibilities, while safeguarding business and end-user needs through a unified model for demand intake, backlog prioritization, issue management and adoption Coordinate with the appropriate governance, security and compliance functions to ensure Data Science solutions align with R&D and enterprise requirements, including AI ethics, monitoring and risk management Coordinate with service support teams and technology vendors to ensure technical solutions meet agreed functional and performance expectations Ensure that appropriate documentation, knowledge transfer and service transition are in place for handover to IT support teams Accountable for the update of data science system maps and software developed by data science that support R&D business operations Work with the relevant expert teams to ensure systems and pipelines meet required standards for backup, data integrity, security and GxP compliance Contribute to cost-efficient technology decisions aligned with the long-term R&D business strategy, in collaboration with the relevant IT and procurement stakeholders Define and track KPIs to measure solution performance, adoption and business value. Drive project management using agile methodologies and increase speed of delivery, reducing time to insight and enabling faster hypothesis generation in all possible stages of Data Science flat & self-organised model. Represent Data Science growth needs in IT planning to help ensure that platforms and services can scale appropriately for omics, advanced analytics and AI use cases Coordinate the design and evolution of the end-to-end architecture for the Data Science environment with enterprise architecture and specialist IT teams, ensuring scalability, resilience and alignment with corporate standards across ideation, pilots and production solutions Orchestrate cross-functional delivery involving Data & AI, Infrastructure & Operations, Security and Digital Solutions, with clear ownership across the relevant IT domains EXPERIENCE At least 5 years of experience working in R&D Pharma in close collaboration with bioinformatics and IT teams Deep understanding of R&D Data Science workflows (omics, bioinformatics, AI/ML pipelines, and computational modeling) Proven ability to operate at the intersection of science and technology, translating scientific challenges into scalable IT solutions Experience in HPC, cloud platforms (preferably Azure), or equivalent architectures for compute-intensive workloads Deep knowledge of advanced computing environments, supporting analytics, scientific pipelines AI/ML, or simulation workloads Market vision for solutions to support data scientist in Pharma R&D environment. Broad understanding of the Pharma industry including security and GxP compliance Python, Linux, Apache, Postgres, Bash, R, Gitlab, Shiny server, Package manager Posit Workbench & Connect, services configuration management and automation, supports custom DS application to allow developer users to install code packages, Docker CI/CD, kubernetes clusters, LakeHouse integrations (preferably DataBricks) Demonstrated experience in designing and implementing end to end data and cloud architectures including infrastructure, data pipelines, and application integration for complex and scalable environments Solid experience managing full lifecycle of solutions from ideation and proof of concept to industrialization production deployment and ongoing evolution & continuous improvement Proven track record in leading or coordinating cross-functional teams including Data & AI, infrastructure, security and external vendors Proven ability to enable innovation and evaluate non-standard technologies, balancing agility with compliance and enterprise architecture in fast-evolving environments MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. SummaryLocation: SANT FELIU DE LLOBREGATType: Full time

Overview In this role you will manage global factory capacity and demand planning, coordinating across supply chain, planning, procurement, and manufacturing teams to optimize workload and resources. You will provide visibility on current projects and future opportunities, balancing internal and outside group plants. You will drive standard reporting and digital tooling to support capacity planning and project execution. This position offers the chance to shape factory utilization strategy across diverse regions and collaborate with cross-functional teams to deliver impactful outcomes. Compensaciones / Beneficios • health and life insurance, • paid time off, • parenteral and care leave, • flexible work options, • confidential counseling, • retirement savings plans Responsabilidades, • Coordinate projects and capacity planning across multiple plants (IG/OG) and regions, • Lead demand planning and schedule coordination with tendering and plants, • Map factory status to balance resources and workload, • Collaborate with Industrialization, Supply Chain, and tendering to align flows and capacity, • Report factory and customer project backlogs and perform SIOP/DSR tracking, • Analyze workload transfer between factories and prepare EU OG coordination for future utilization, • Deploy asset collection via M2C tool and track installed base, • Enhance reporting through digital skills and standardization Requisitos principales, • 3+ years in assemblies and equipment integration, • 3+ years in project management, • Proactive, organized, solution oriented, • Experience managing projects across different BUs in a complex environment, • English proficiency (spoken and written), • Microsoft Office proficiency, • PowerBI and Tableau knowledge, • proactivity, • organization, • solution-oriented mindset, • Microsoft Office, • PowerBI, • Tableau

Overview In this role you will manage global factory capacity and demand planning, coordinating across supply chain, planning, procurement, and manufacturing teams to optimize workload and resources. You will provide visibility on current projects and future opportunities, balancing internal and outside group plants. You will drive standard reporting and digital tooling to support capacity planning and project execution. This position offers the chance to shape factory utilization strategy across diverse regions and collaborate with cross-functional teams to deliver impactful outcomes. Compensaciones / Beneficios • health and life insurance, • paid time off, • parenteral and care leave, • flexible work options, • confidential counseling, • retirement savings plans Responsabilidades, • Coordinate projects and capacity planning across multiple plants (IG/OG) and regions, • Lead demand planning and schedule coordination with tendering and plants, • Map factory status to balance resources and workload, • Collaborate with Industrialization, Supply Chain, and tendering to align flows and capacity, • Report factory and customer project backlogs and perform SIOP/DSR tracking, • Analyze workload transfer between factories and prepare EU OG coordination for future utilization, • Deploy asset collection via M2C tool and track installed base, • Enhance reporting through digital skills and standardization Requisitos principales, • 3+ years in assemblies and equipment integration, • 3+ years in project management, • Proactive, organized, solution oriented, • Experience managing projects across different BUs in a complex environment, • English proficiency (spoken and written), • Microsoft Office proficiency, • PowerBI and Tableau knowledge, • proactivity, • organization, • solution-oriented mindset, • Microsoft Office, • PowerBI, • Tableau

IT BUSINESS PROCESS MANAGER - R&D DATA SCIENCEBewerbenremote type: Corporate & Support Functionslocations: SANT FELIU DE LLOBREGATtime type: Full timeposted on: Vor 2 Tagen ausgeschriebenjob requisition id: 001564Warum Almirall?Wir gestalten die Zukunft der medizinischen Dermatologie, indem wir uns auf unerfüllte Bedürfnisse von Patient:innen konzentrieren und Menschen den Raum geben, eigenständig zu denken, Verantwortung zu übernehmen und Wirkung zu erzielen, die wirklich zählt.Unser Anspruch ist klar: das Leben von Patient:innen zu verbessern, indem wir auf echte Bedürfnisse eingehen. Wir arbeiten mit Präzision, handeln mutig, halten die Dinge einfach und richten unsere Innovation dort aus, wo sie wirklich einen Unterschied macht.Als Top Employer in Spanien seit 2008 und in Deutschland seit 2025 investieren wir kontinuierlich in ein Umfeld, in dem Menschen wachsen und vorankommen können.Wenn du Dinge anders angehst, bist du hier richtig.MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. TASKS AND RESPONSIBILITIES Operational: Lead demand intake, service coordination and project delivery for Data Science-related IT needs in close collaboration with Data Science stakeholders, especially bioinformatics and modelling teams Manage software development lifecycle of custom Data Science tools supporting the acceleration of hypothesis generation and scientific insight creation Act as a Single Point of Contact (SPOC) in IT for Data Science users, reducing complexity by shielding business stakeholders from interacting with multiple IT teams and ensuring seamless coordination across infrastructure, security, data and application domains Partner with relevant IT domains to evolve technology capabilities for R&D Data Science, supporting scientific platforms, advanced computing, omics, multimodal analytics, molecular modelling and AI/ML in line with business priorities Translate, review, and validate Data Science requirements into actionable IT deliverables with clear scope, timelines, and responsibilities, while safeguarding business and end-user needs through a unified model for demand intake, backlog prioritization, issue management and adoption Coordinate with the appropriate governance, security and compliance functions to ensure Data Science solutions align with R&D and enterprise requirements, including AI ethics, monitoring and risk management Coordinate with service support teams and technology vendors to ensure technical solutions meet agreed functional and performance expectations Ensure that appropriate documentation, knowledge transfer and service transition are in place for handover to IT support teams Accountable for the update of data science system maps and software developed by data science that support R&D business operations Work with the relevant expert teams to ensure systems and pipelines meet required standards for backup, data integrity, security and GxP compliance Contribute to cost-efficient technology decisions aligned with the long-term R&D business strategy, in collaboration with the relevant IT and procurement stakeholders Define and track KPIs to measure solution performance, adoption and business value. Drive project management using agile methodologies and increase speed of delivery, reducing time to insight and enabling faster hypothesis generation in all possible stages of Data Science flat & self-organised model. Represent Data Science growth needs in IT planning to help ensure that platforms and services can scale appropriately for omics, advanced analytics and AI use cases Coordinate the design and evolution of the end-to-end architecture for the Data Science environment with enterprise architecture and specialist IT teams, ensuring scalability, resilience and alignment with corporate standards across ideation, pilots and production solutions Orchestrate cross-functional delivery involving Data & AI, Infrastructure & Operations, Security and Digital Solutions, with clear ownership across the relevant IT domains EXPERIENCE At least 5 years of experience working in R&D Pharma in close collaboration with bioinformatics and IT teams Deep understanding of R&D Data Science workflows (omics, bioinformatics, AI/ML pipelines, and computational modeling) Proven ability to operate at the intersection of science and technology, translating scientific challenges into scalable IT solutions Experience in HPC, cloud platforms (preferably Azure), or equivalent architectures for compute-intensive workloads Deep knowledge of advanced computing environments, supporting analytics, scientific pipelines AI/ML, or simulation workloads Market vision for solutions to support data scientist in Pharma R&D environment. Broad understanding of the Pharma industry including security and GxP compliance Python, Linux, Apache, Postgres, Bash, R, Gitlab, Shiny server, Package manager Posit Workbench & Connect, services configuration management and automation, supports custom DS application to allow developer users to install code packages, Docker CI/CD, kubernetes clusters, LakeHouse integrations (preferably DataBricks) Demonstrated experience in designing and implementing end to end data and cloud architectures including infrastructure, data pipelines, and application integration for complex and scalable environments Solid experience managing full lifecycle of solutions from ideation and proof of concept to industrialization production deployment and ongoing evolution & continuous improvement Proven track record in leading or coordinating cross-functional teams including Data & AI, infrastructure, security and external vendors* Proven ability to enable innovation and evaluate non-standard technologies, balancing agility with compliance and enterprise architecture in fast-evolving environments MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. #J-18808-Ljbffr

IT BUSINESS PROCESS MANAGER - R&D DATA SCIENCEPresenta candidaturaremote type: Corporate & Support Functionslocations: SANT FELIU DE LLOBREGATtime type: Full timeposted on: Offerta pubblicata oggijob requisition id: 001564Stiamo costruendo il futuro della dermatologia medica concentrandoci sui bisogni ancora insoddisfatti dei pazienti e dando alle persone lo spazio per pensare in modo indipendente, assumersi responsabilità e generare un impatto che conta davvero.Il nostro purpose è semplice: trasformare la vita dei pazienti rispondendo a bisogni reali. Lavoriamo con rigore, agiamo con coraggio, teniamo le cose semplici e orientiamo l’innovazione dove può davvero fare la differenza.Riconosciuti come Top Employer in Spagna dal 2008 e in Germania dal 2025, continuiamo a investire in un ambiente in cui le persone possono crescere e andare avanti.Se pensi in modo diverso, qui è il posto giusto per te.MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. TASKS AND RESPONSIBILITIES Operational: Lead demand intake, service coordination and project delivery for Data Science-related IT needs in close collaboration with Data Science stakeholders, especially bioinformatics and modelling teams Manage software development lifecycle of custom Data Science tools supporting the acceleration of hypothesis generation and scientific insight creation Act as a Single Point of Contact (SPOC) in IT for Data Science users, reducing complexity by shielding business stakeholders from interacting with multiple IT teams and ensuring seamless coordination across infrastructure, security, data and application domains Partner with relevant IT domains to evolve technology capabilities for R&D Data Science, supporting scientific platforms, advanced computing, omics, multimodal analytics, molecular modelling and AI/ML in line with business priorities Translate, review, and validate Data Science requirements into actionable IT deliverables with clear scope, timelines, and responsibilities, while safeguarding business and end-user needs through a unified model for demand intake, backlog prioritization, issue management and adoption Coordinate with the appropriate governance, security and compliance functions to ensure Data Science solutions align with R&D and enterprise requirements, including AI ethics, monitoring and risk management Coordinate with service support teams and technology vendors to ensure technical solutions meet agreed functional and performance expectations Ensure that appropriate documentation, knowledge transfer and service transition are in place for handover to IT support teams Accountable for the update of data science system maps and software developed by data science that support R&D business operations Work with the relevant expert teams to ensure systems and pipelines meet required standards for backup, data integrity, security and GxP compliance Contribute to cost-efficient technology decisions aligned with the long-term R&D business strategy, in collaboration with the relevant IT and procurement stakeholders Define and track KPIs to measure solution performance, adoption and business value. Drive project management using agile methodologies and increase speed of delivery, reducing time to insight and enabling faster hypothesis generation in all possible stages of Data Science flat & self-organised model. Represent Data Science growth needs in IT planning to help ensure that platforms and services can scale appropriately for omics, advanced analytics and AI use cases Coordinate the design and evolution of the end-to-end architecture for the Data Science environment with enterprise architecture and specialist IT teams, ensuring scalability, resilience and alignment with corporate standards across ideation, pilots and production solutions Orchestrate cross-functional delivery involving Data & AI, Infrastructure & Operations, Security and Digital Solutions, with clear ownership across the relevant IT domains EXPERIENCE At least 5 years of experience working in R&D Pharma in close collaboration with bioinformatics and IT teams Deep understanding of R&D Data Science workflows (omics, bioinformatics, AI/ML pipelines, and computational modeling) Proven ability to operate at the intersection of science and technology, translating scientific challenges into scalable IT solutions Experience in HPC, cloud platforms (preferably Azure), or equivalent architectures for compute-intensive workloads Deep knowledge of advanced computing environments, supporting analytics, scientific pipelines AI/ML, or simulation workloads Market vision for solutions to support data scientist in Pharma R&D environment. Broad understanding of the Pharma industry including security and GxP compliance Python, Linux, Apache, Postgres, Bash, R, Gitlab, Shiny server, Package manager Posit Workbench & Connect, services configuration management and automation, supports custom DS application to allow developer users to install code packages, Docker CI/CD, kubernetes clusters, LakeHouse integrations (preferably DataBricks) Demonstrated experience in designing and implementing end to end data and cloud architectures including infrastructure, data pipelines, and application integration for complex and scalable environments Solid experience managing full lifecycle of solutions from ideation and proof of concept to industrialization production deployment and ongoing evolution & continuous improvement Proven track record in leading or coordinating cross-functional teams including Data & AI, infrastructure, security and external vendors* Proven ability to enable innovation and evaluate non-standard technologies, balancing agility with compliance and enterprise architecture in fast-evolving environments MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. #J-18808-Ljbffr

Overview As IT Business Process Manager, you will lead the digitalization of R&D laboratory IT systems. You’ll partner with scientists, data stewards and data science teams to maximize value, automate processes, and ensure adoption of digital solutions. You’ll oversee GxP and non-GxP lab systems, collaborate with vendors, and shape future lab operating models for scientific excellence and business growth. This role offers the chance to drive meaningful impact by aligning IT with research objectives and regulatory needs. Responsabilidades • IT service delivery and project management for Lab systems in R&D, • Lead implementation of a scientific data platform for R&D labs, • translate business requirements into technical/functional specs and organize into value streams, • design technical systems and processes aligned with strategic R&D needs, • maximize value of IT solutions and ensure adoption, efficiency and homogeneity, • maintain updated system maps and data flows in IT inventories, • ensure instrument software reliability, backups, security, data integrity and GxP compliance, • coordinate with Lab Vendors and service teams to meet performance expectations, • lead operational Lab forum and drive key functional enhancements on lab software, • serve as SPOC for users and ensure cost-efficient upgrades aligned with business goals, • establish KPIs to measure area performance, • lead project management with agile approaches for new solutions, • coordinate implementation of a laboratory data platform, • perform change management with business counterparts to ensure proper adoption, • perform regular requirements reviews to safeguard user needs, • maintain documentation and knowledge transfer to support teams, • communicate effectively with stakeholders across locations, • build governance for lab topics and engagement with Data Science and data stewards Requisitos principales, • At least 5 years of Lab Software Management experience, • Experience leading digital lab implementation projects in pharma from design to deployment, • Proven ability to manage complex IT projects with vendors and stakeholders, • Experience in lab application development, process design, and system validation, • Knowledge of laboratory processes and systems (LIMS, EMPOWER, LAB-X, ELN) and business process configuration, • Broad understanding of Pharma industry including GxP compliance, • Spanish and English proficiency, • Excellent written, verbal and presentation skills, • Strategic thinking and stakeholder relationship building, • Agile or Scrum certifications a plus, • Knowledge of laboratory data platforms a plus, • Ability to coordinate across geographically dispersed teams, • User-centric and results-oriented mindset, • Scientific mindset with analytical problem-solving skills, • stakeholder management, • communication, • strategic thinking, • LIMS, • EMPOWER, • LAB-X

Overview As IT Business Process Manager, you will lead the digitalization of R&D laboratory IT systems. You’ll partner with scientists, data stewards and data science teams to maximize value, automate processes, and ensure adoption of digital solutions. You’ll oversee GxP and non-GxP lab systems, collaborate with vendors, and shape future lab operating models for scientific excellence and business growth. This role offers the chance to drive meaningful impact by aligning IT with research objectives and regulatory needs. Responsabilidades • IT service delivery and project management for Lab systems in R&D, • Lead implementation of a scientific data platform for R&D labs, • translate business requirements into technical/functional specs and organize into value streams, • design technical systems and processes aligned with strategic R&D needs, • maximize value of IT solutions and ensure adoption, efficiency and homogeneity, • maintain updated system maps and data flows in IT inventories, • ensure instrument software reliability, backups, security, data integrity and GxP compliance, • coordinate with Lab Vendors and service teams to meet performance expectations, • lead operational Lab forum and drive key functional enhancements on lab software, • serve as SPOC for users and ensure cost-efficient upgrades aligned with business goals, • establish KPIs to measure area performance, • lead project management with agile approaches for new solutions, • coordinate implementation of a laboratory data platform, • perform change management with business counterparts to ensure proper adoption, • perform regular requirements reviews to safeguard user needs, • maintain documentation and knowledge transfer to support teams, • communicate effectively with stakeholders across locations, • build governance for lab topics and engagement with Data Science and data stewards Requisitos principales, • At least 5 years of Lab Software Management experience, • Experience leading digital lab implementation projects in pharma from design to deployment, • Proven ability to manage complex IT projects with vendors and stakeholders, • Experience in lab application development, process design, and system validation, • Knowledge of laboratory processes and systems (LIMS, EMPOWER, LAB-X, ELN) and business process configuration, • Broad understanding of Pharma industry including GxP compliance, • Spanish and English proficiency, • Excellent written, verbal and presentation skills, • Strategic thinking and stakeholder relationship building, • Agile or Scrum certifications a plus, • Knowledge of laboratory data platforms a plus, • Ability to coordinate across geographically dispersed teams, • User-centric and results-oriented mindset, • Scientific mindset with analytical problem-solving skills, • stakeholder management, • communication, • strategic thinking, • LIMS, • EMPOWER, • LAB-X

As a Direct Tax & Transfer Pricing Specialist , you will support the execution of direct tax compliance and transfer pricing activities for assigned legal entities, ensuring compliance with local legislation, OECD transfer pricing guidance, and Bunge's internal tax governance frameworks. Transfer Pr

Strategic Tax Planning & Structure Own the preparation and maintenance of the Transfer Pricing Master File and Local Files. Solid expertise in transfer pricing and OECD guidelines.

Coordinating with the University's internal services (Finance Department, Legal Office, and the Vice-Rectorate for Innovation, Research and Knowledge Transfer) to support the successful implementation of projects. Organisation/Company Universitat Internacional de Catalunya Department Internation

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Minimum 5 years’ experience in Transfer Pricing, ideally in a multinational organization or Big 4. He/ she will need to have proven expertise in Transfer Pricing (TP), ideally TP compliance across multiple jurisdictions.

Claroty) and Secure File Transfer/File Security solutions. Lead deployment of secure file transfer and file security platforms, ensuring secure data exchange, malware scanning, threat prevention, and compliance with security standards. Experience with Secure File Transfer, file security, content sec

The role focuses on transfer studies of Biological products and validation of Small Molecules in a GMP-regulated environment.

A dynamic international company in Barcelona is seeking a skilled Tax Manager to lead tax strategy across multiple jurisdictions.The ideal candidate has a strong background in international tax management, particularly in EU and UK tax laws.This role offers the chance to work in a fast-paced environ

Senior IT Project Manager - OT Security & Secure File Transfer in Pharma Full-time Transforming Life Science Consulting Worldwide. The IT Project Manager is responsible for leading the delivery of Infrastructure Security projects within a global pharmaceutical environment, with primary focus on

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We are looking for a Senior Direct Tax & Transfer Pricing Specialist to oversee complex direct tax and transfer pricing activities, ensuring high-quality compliance, strong tax governance, and continuous process improvement across assigned regions and entities. Provide technical expertise on dir

PURPOSE / SCOPE The Media Transfer Agent is responsible for overseeing the transfer of removable media to secured network while maintaining data integrity and cyber security, safety, and protection of the systems and data. Amentum, a global leader in advanced engineering, technical, and professional

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As a Direct Tax & Transfer Pricing Specialist, you will support the execution of direct tax compliance and transfer pricing activities for assigned legal entities, ensuring compliance with local legislation, OECD transfer pricing guidance, and Bunge's internal tax governance frameworks. We a

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Amentum, a global leader in engineering and services, seeks a Media Transfer Agent to support a US government contract on Diego Garcia. You will oversee the secure transfer of removable media to secured networks, maintaining data integrity and cyber security while complying with program requirements

Oxigent Technologies busca un/a Responsable de proyecto para liderar la introducción de nuevos productos en el sector salud y farmacéutico, ubicado en Madrid y alrededores.Se requieren licenciatura en áreas afines, 5 años de experiencia como Project Leader, inglés B2/C1 y experiencia en proceso