To assist with the collation of all data resulting from the procedures and transfer this to the records on the computer and into the patient notes to satisfy HFEA regulations. In conjunction with senior nursing staff to be responsible for the booking of the patient’s treatment cycle, planning drug prescribing and liaising with GPs.
To assist with the collation of all data resulting from the procedures and transfer this to the records on the computer and into the patient notes to satisfy HFEA regulations. In conjunction with senior nursing staff to be responsible for the booking of the patient’s treatment cycle, planning drug prescribing and liaising with GPs.
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
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
Analyze system requirements and assess the feasibility of testing in simulated environments as well as in vehicles Design and develop test cases for system requirements, particularly for IVI systems including navigation, telematics, and streaming services Execute integrated system tests on test benches and in-vehicle environments Take ownership of key test milestones, such as quality audits and final release gate checks for new vehicle platforms Collaborate closely with Tier-1 suppliers and coordinate activities with our R&D headquarters in Korea Track issues and manage bug fixes using JIRA, ensuring alignment with vehicle line timelines and software release plan Review and challenge technical solutions with a focus on system performance and market competitiveness Identify improvement opportunities based on European market trends and actively support their implementation Bachelor’s or Master’s degree in Computer Science, Engineering, Electrical Engineering, or a related field Practical experience conducting driving tests within the EU region, ideally in the area of automotive infotainment validation Experience in system validation, preferably covering navigation, connected car services, and streaming applications Familiarity with configuration management and version control tools Basic knowledge of data analytics is an advantage Strong planning and organizational skills with a structured working approach High level of flexibility and motivation to work in an international and cross-cultural environment Very good command of the English language, both written and spoken Willingness to travel and conduct driving tests; valid European driving license (Category B) required Pleasant working atmosphere Challenging and varied tasks in a promising and innovative industry Dynamic and innovative market environment A highly motivated team and an open communication styleAngenehmes Arbeitsklima Ihr Kontakt Ansprechpartner Annika Chrysant Referenznummer 858521/1 Kontakt aufnehmen E-Mail: annika.chrysant@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Analyze system requirements and assess the feasibility of testing in simulated environments as well as in vehiclesDesign and develop test cases for system requirements, particularly for IVI systems including navigation, telematics, and streaming servicesExecute integrated system tests on test benches and in-vehicle environmentsTake ownership of key test milestones, such as quality audits and final release gate checks for new vehicle platformsCollaborate closely with Tier-1 suppliers and coordinate activities with our R&D headquarters in KoreaTrack issues and manage bug fixes using JIRA, ensuring alignment with vehicle line timelines and software release planReview and challenge technical solutions with a focus on system performance and market competitivenessIdentify improvement opportunities based on European market trends and actively support their implementation Bachelor’s or Master’s degree in Computer Science, Engineering, Electrical Engineering, or a related fieldPractical experience conducting driving tests within the EU region, ideally in the area of automotive infotainment validationExperience in system validation, preferably covering navigation, connected car services, and streaming applicationsFamiliarity with configuration management and version control toolsBasic knowledge of data analytics is an advantageStrong planning and organizational skills with a structured working approachHigh level of flexibility and motivation to work in an international and cross-cultural environmentVery good command of the English language, both written and spokenWillingness to travel and conduct driving tests; valid European driving license (Category B) required Pleasant working atmosphereChallenging and varied tasks in a promising and innovative industryDynamic and innovative market environmentA highly motivated team and an open communication styleAngenehmes Arbeitsklima Ihr Kontakt Ansprechpartner Annika Chrysant Referenznummer 858521/1 Kontakt aufnehmen E-Mail: annika.chrysant@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH