Support procurement processes across all Carve-out phases including due diligence, planning and executionEnsure smooth transition and integration of systems, services and suppliersDevelop and manage strong relationships with key vendors and service providersLead negotiations and manage supplier performance and complianceConduct strategic sourcing and supplier selection based on quality, cost and reliabilityManage contract creation, negotiation and lifecycle governancePerform data analysis to identify cost optimization and process improvement opportunitiesAssess, monitor and mitigate procurement-related risksCollaborate closely with cross-functional stakeholders including IT, Automation, Quality, Finance, Legal and MROMaintain procurement KPIs and develop data-driven performance reports Bachelor’s degree in IT, Business Administration, Supply Chain Management or a related fieldMaster’s degree or relevant certifications (CPSM, CIPS) are an advantageExperience in indirect procurement, ideally in CDMO or pharma environmentsExperience in Carve-out or Divestment activitiesExtensive knowledge in procurement processes, strategic sourcing, vendor and contract managementProven track record in managing procurement streams within business divestmentsStrong negotiation, analytical and problem-solving skillsExcellent communication abilities and stakeholder management skillsProficiency in procurement systems, ERP tools and MS OfficeStrategic thinker, highly organized, adaptable, resilient and collaborative in team settings Opportunity to work on high-impact strategic Carve-out projects within a global CDMOExposure to cross-functional leadership teams and strategic decision-makingInnovative, collaborative and international work environment Ihr Kontakt Referenznummer 863140/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Support procurement processes across all Carve-out phases including due diligence, planning and execution Ensure smooth transition and integration of systems, services and suppliers Develop and manage strong relationships with key vendors and service providers Lead negotiations and manage supplier performance and compliance Conduct strategic sourcing and supplier selection based on quality, cost and reliability Manage contract creation, negotiation and lifecycle governance Perform data analysis to identify cost optimization and process improvement opportunities Assess, monitor and mitigate procurement-related risks Collaborate closely with cross-functional stakeholders including IT, Automation, Quality, Finance, Legal and MRO Maintain procurement KPIs and develop data-driven performance reports Bachelor’s degree in IT, Business Administration, Supply Chain Management or a related field Master’s degree or relevant certifications (CPSM, CIPS) are an advantage Experience in indirect procurement, ideally in CDMO or pharma environments Experience in Carve-out or Divestment activities Extensive knowledge in procurement processes, strategic sourcing, vendor and contract management Proven track record in managing procurement streams within business divestments Strong negotiation, analytical and problem-solving skills Excellent communication abilities and stakeholder management skills Proficiency in procurement systems, ERP tools and MS Office Strategic thinker, highly organized, adaptable, resilient and collaborative in team settings Opportunity to work on high-impact strategic Carve-out projects within a global CDMO Exposure to cross-functional leadership teams and strategic decision-making Innovative, collaborative and international work environment Ihr Kontakt Referenznummer 863140/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systemsSupport model development by assisting with training, validation, and optimization of machine learning workflowsConduct data analysis to extract insights and provide clear reports supporting R&D research questionsSolve technical challenges related to data access, pipeline performance, and software limitationsEnsure continuity of ongoing projects by aligning closely with the core team and delivering on timelinesPerform image analysis and prepare datasets required for scientific and ML use casesManage and improve ETL processes to ensure data quality, structure, and availabilityDocument workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative fieldStrong proficiency in Python with expertise in scientific and analytical librariesSkilled in SQL and working with relational databasesUnderstanding of ETL concepts and practical experience working with data pipelinesSolid foundation in machine learning principles and model lifecycleAbility to perform image analysis for scientific or research applicationsStrong communication and interpersonal skills with the ability to collaborate in a technical teamIndependent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impactHands-on involvement in AI, machine learning, and data integration challenges in a scientific environmentClose collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Deliver backend development for a multi-agent evaluation platform within an agile setup Provide technical consulting to the project team and contribute to solution design Build and maintain backend services aligned with defined functional requirements Design and implement APIs for seamless integration across internal applications Collaborate with cross-functional teams to clarify and solve technical integration needs Apply modern data processing and analysis techniques to support platform evolution Improve system performance through testing strategies, code reviews, and tooling enhancements Support UI implementation and ensure smooth deployment in cloud and HPC environments Academic background or equivalent experience in a computing, engineering, or data-related field Strong expertise in Python programming Solid understanding of REST API design and implementation Hands-on experience with machine-learning engineering, ideally in scientific or technical domains Proficiency with CI/CD pipelines using GitLab Experience with GitOps workflows and Kubernetes-based service hosting Ability to implement or contribute to user interface components Knowledge of LLMs, multi-agent frameworks, and working in high-performance computing environments Opportunity to work on an award-winning, innovative scientific-technology project Highly collaborative, cross-functional environment with modern engineering practices Exposure to advanced ML, multi-agent systems, and cutting-edge data technologies Flexible hybrid working model with a dynamic team culture Ihr Kontakt Referenznummer 863129/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Deliver backend development for a multi-agent evaluation platform within an agile setupProvide technical consulting to the project team and contribute to solution designBuild and maintain backend services aligned with defined functional requirementsDesign and implement APIs for seamless integration across internal applicationsCollaborate with cross-functional teams to clarify and solve technical integration needsApply modern data processing and analysis techniques to support platform evolutionImprove system performance through testing strategies, code reviews, and tooling enhancementsSupport UI implementation and ensure smooth deployment in cloud and HPC environments Academic background or equivalent experience in a computing, engineering, or data-related fieldStrong expertise in Python programmingSolid understanding of REST API design and implementation Hands-on experience with machine-learning engineering, ideally in scientific or technical domainsProficiency with CI/CD pipelines using GitLabExperience with GitOps workflows and Kubernetes-based service hostingAbility to implement or contribute to user interface componentsKnowledge of LLMs, multi-agent frameworks, and working in high-performance computing environments Opportunity to work on an award-winning, innovative scientific-technology projectHighly collaborative, cross-functional environment with modern engineering practicesExposure to advanced ML, multi-agent systems, and cutting-edge data technologiesFlexible hybrid working model with a dynamic team culture Ihr Kontakt Referenznummer 863129/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt