Designing and implementing the ETL pipeline and MongoDB schemeManaging the document database, data curation, and FAIRification (cleaning, parsing, disambiguation, deduplication, data harmonization etc.), including ongoing database maintenanceIntegrating new data sources, including the development of robust parsers and text cleaning workflowsEnhancing the user experience (e.g., building a data warehouse and APIs)User support for utilizing RoMine datasets (documentation, training, use case support) Data engineering, data warehousing, and database experienceExperience with NoSQL/MongoDB databaseExperience or knowledge of ETL orchestration tools, such as AirflowGood understanding in the area of Text Analytics/Mining, TDM, and LLMsStrong proficiency in Python scripting Internal career opportunities World-renowned pharmaceutical company Ihr Kontakt Referenznummer 864194/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Designing and implementing the ETL pipeline and MongoDB scheme Managing the document database, data curation, and FAIRification (cleaning, parsing, disambiguation, deduplication, data harmonization etc.), including ongoing database maintenance Integrating new data sources, including the development of robust parsers and text cleaning workflows Enhancing the user experience (e.g., building a data warehouse and APIs) User support for utilizing RoMine datasets (documentation, training, use case support) Data engineering, data warehousing, and database experience Experience with NoSQL/MongoDB database Experience or knowledge of ETL orchestration tools, such as Airflow Good understanding in the area of Text Analytics/Mining, TDM, and LLMs Strong proficiency in Python scripting Internal career opportunities World-renowned pharmaceutical company Ihr Kontakt Referenznummer 864194/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Verfahrenstechnische Lösungen und Optimierungen entwickeln und implementierenVerantwortlich für die Einhaltung der Termine, der Kosten und die Erreichung der ProjektzieleEinhaltung und Sicherstellung von cGMP-Vorgaben im Rahmen von Investitionsprojekten und im BetriebsengineeringZuständigkeit sowohl für Optimierungen und Umbauten als auch für die technische Betreuung der komplexen und anspruchsvollen Anlagen der chemischen und biotechnologischen und Realisierung von Investitionsprojekten von der ersten Projektdefinition bis zur Übergabe an den BetreiberVerantwortlich Wirkstoffproduktion (Batchprozesse wie auch Continuous Manufacturing Prozesse)Mitarbeit in einem Projektteams im interdisziplinären technischen Umfeld Universitätsabschluss oder vergleichbares in einem relevanten BereichErste Erfahrungen im GMP & Pharma BereichGute IT Kenntnisse, bspw. in Microsoft und Google AnwendungenFliessende Deutschkenntnisse und gute Englischkenntnisse in Wort und SchriftEine positiv denkende, integre und selbstreflektierende Persönlichkeit mit starken Team- FähigkeitenOffen für neue Ideen und hinterfragen konventionelle DenkmusterEine kommunikative und entscheidungsfreudige Persönlichkeit mit Überzeugungskraft und Durchsetzungsvermögen, die Freude an selbständiger Arbeit hatVon Vorteil: Verfahrenstechnisches Wissen vorhanden in Reinstmedien, Dampf und Energien Von Vorteil: Know How im Bereich Anlagen-, Pumpen- und Wärmetauscherauslegungen Abwechslungsreiche Tätigkeit in einem renommierten UnternehmenInteressante Aufgaben in einem multinationalen Umfeld Ihr Kontakt Referenznummer 862566/1 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 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
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
Design, conduct, and analyze in vivo studies involving intravenous injections, blood collection, and bleeding/thrombosis modelsExecute full end-to-end in vivo workflows, from study preparation to sample processing and documentationCharacterize gene therapy candidates using molecular and biochemical assays such as ELISA, thrombin generation, and chromogenic assaysHandle, prepare, and evaluate patient-derived blood and plasma samples for in vitro and ex vivo experimentsPerform data analysis, interpret results, and present findings to the research teamMaintain accurate, complete, and compliant documentation across all experimental stepsContribute to lab operations, including safety standards, inventory, equipment handling, and general organizationCollaborate with cross-functional team members to ensure smooth coordination and progress on gene therapy studies Academic background in life sciences (MSc or BSc) or completed scientific apprenticeship with hands-on laboratory experienceActive certification for animal experimentation (e.g., LTK1, FELASA, or equivalent)Proven hands-on experience with rodent work, including intravenous injections and blood samplingAbility to independently design, execute, and manage in vivo studies from start to finishExperience with molecular or biochemical assays relevant to hemostasis, thrombosis, or gene therapyStrong ability to plan experiments, analyze data, and interpret scientific resultsFluency in English with clear communication skillsHighly organized, proactive, and team-oriented mindset with strong reliability and attention to detail Opportunity to contribute directly to translational gene therapy research with high scientific impactHands-on work with a combination of in vivo, ex vivo, and molecular biology techniquesCollaborative environment with close teamwork and modern laboratory infrastructureDiverse and meaningful daily tasks involving both preclinical models and human biological samples Ihr Kontakt Referenznummer 865654/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt