What we offer: 3 months lasting internship opportunity based in Germany (next possible start date: May. 2026).Remote work / home office with high-class remote trainings and guidance combined with work experience - remote and on business travel.The aim is a training on the Clinical Research Associate role, there might be an option to offer a permanent employment in this field afterwards.Collecting knowledge: in basic remote and practical on-site trainings in clinical research.Gaining a brought work experience in the administration of clinical trials: supporting the Clinical Trials Assistants with documentation and filing, accompanying the Clinical Research Associates to various visit types at the research sites (onsite and remote visits, including administration), assisting the Study Start-Up Group with relevant documents for Ethical Committees and contracting purposes.Working with the latest computer systems and first-class IT equipment. You should have: University degree from life science-based subjects preferable plus an advanced theoretical trainings program in clinical research.Excellent communication skills in German language (at least C1 level) including good command of English language.Strong written and verbal communication skills.Computer skills including a high proficiency in use of Microsoft Office applications, especially Excel, internet, and communication tools.Excellent organizational and problem-solving skills.Effective time management skills and the ability to manage priorities.Ability to establish and maintain effective working relationships with coworkers, managers and clients.Flexibility to frequent business travel and driving license category B.Candidates need to be located in Germany If you want to make a difference in global healthcare, IQVIA™ is the place for you!
What we offer: 3 months lasting internship opportunity based in Germany (next possible start date: May. 2026).Remote work / home office with high-class remote trainings and guidance combined with work experience - remote and on business travel.The aim is a training on the Clinical Research Associate role, there might be an option to offer a permanent employment in this field afterwards.Collecting knowledge: in basic remote and practical on-site trainings in clinical research.Gaining a brought work experience in the administration of clinical trials: supporting the Clinical Trials Assistants with documentation and filing, accompanying the Clinical Research Associates to various visit types at the research sites (onsite and remote visits, including administration), assisting the Study Start-Up Group with relevant documents for Ethical Committees and contracting purposes.Working with the latest computer systems and first-class IT equipment. You should have: University degree from life science-based subjects preferable plus an advanced theoretical trainings program in clinical research.Excellent communication skills in German language (at least C1 level) including good command of English language.Strong written and verbal communication skills.Computer skills including a high proficiency in use of Microsoft Office applications, especially Excel, internet, and communication tools.Excellent organizational and problem-solving skills.Effective time management skills and the ability to manage priorities.Ability to establish and maintain effective working relationships with coworkers, managers and clients.Flexibility to frequent business travel and driving license category B.Candidates need to be located in the Stuttgart area If you want to make a difference in global healthcare, IQVIA™ is the place for you!
Linux, Slurm, Docker, Kubernettes) Kenntnisse in Maschinellem Lernen und Mustererkennungstechniken Vorzugsweise Erfahrung in Bildverarbeitung bzw. Computer Vision (auch nicht medizinisch) Gute Deutsch- und Englischkenntnisse in Wort und Schrift (mind. C1 Niveau in beiden Sprachen) Unser Angebot Möglichkeit zur Dissertation Abwechslungsreiche Tätigkeit in einem jungen kollegialen und engagierten Team Flexible Zeiteinteilung in großen Teilen, inkl. teilweise, Möglichkeit remote zu arbeiten Einarbeitung und Zusammenarbeit mit erfahrenen, teamorientierten Kollegen und Kolleginnen der Medizininformatik und der Radiologie und eine angemessene Einarbeitungszeit Vergütung nach Tarifvertrag TV-L je nach Qualifizierung und Berufserfahrung einschließlich der im öffentlichen Dienst üblichen Sozialleistungen (Betriebliche Altersvorsorge, Jahressonderzahlung) Beratungs- und Informationsangebot im Familienbüro zur Vereinbarkeit von Familie und Beruf Unterstützung in der persönlichen und beruflichen Weiterentwicklung durch individuelle Entwicklungs- und Fortbildungsmöglichkeiten in der eigenen Akademie Attraktive Angebote im Rahmen des betrieblichen Gesundheitsmanagements, wie Yoga-Kurse, Fitnessangebote und vieles mehr Mitarbeitervergünstigungen in diversen Unternehmen Kontakt Herr Prof.
Fluent languages skills in German on at least C1 level and good command of English. Computer skills including working knowledge of Microsoft Word, Excel and PowerPoint. Effective communication, organizational and planning skills.
Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines.Strong business acumen including confidence with financial considerations, excellent negotiation and influencing skills, and comfort working in both sales and operational environments.Strong customer management skills and demonstrated ability to understand customer needs, have difficult conversations with internal/external stakeholders and customers, negotiate solutions and understand impacts on the overall program/portfolio.Strong leadership skills, ability to lead a virtual team in a matrix organization.Ability to work strategically to realize organizational and project goals, identifying and developing positive and compelling visions for the successful delivery of projects and taking account of a wide range of issues across, and related to, the projects and the organization.Strong presentation skills.Excellent written, verbal communication and interpersonal skills, including good command of English language (both written and spoken).Strong software and computer skills, including MS Office applications.Must have prior experience in the Clinical Research Organization (CRO) industry MINIMUM REQUIRED EDUCATION AND EXPERIENCE Bachelor's degree in life sciences and relevant global clinical research experience (director level), including hands on operational delivery and/or drug development experience in the applicable therapeutic area (Internal Medicine/Immunology) At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world.
Takes a lead role in pro-active to suggest process improvement according WMS standards functionalities and business requirements Requirements: Bachelor or higher degree in Engineering, Computer Science, IT or Logistics. 4+ years’ experience in WMS implementations as functional analyst Strong knowledge in WMS solution Knowledge of integration techniques using middleware.
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
. • High degree of self-accountability and commitment and a strong growth mindset to drive change and contribute actively to future leading transformation. • Very good computer skills including working knowledge of Microsoft Word, Excel and PowerPoint. • Flexibility to occasional business travel for client meetings. • Strong problem solving skills. • Ability to make decisions, bringing clarity to disparate information to inform actions and drive results.
Therapeutic area knowledge in any of the following would be an advantage: respiratory, inflammatory, cardiovascular - metabolic, CNS, oncology. Computer skills including good knowledge of Microsoft Word, Excel and PowerPoint. Fluent language skills in English. Effective communication, organizational and problem-solving skills.
Was Du mitbringen solltest Du hast ein abgeschlossenes Studium oder eine vergleichbare Qualifikation im Bereich UX, Design oder Human-Computer Interaction. Du bist seit mindestens 5 Jahren im UX Design unterwegs, idealerweise im Software Kontext und in einem agilen Umfeld mit stark regulierten und sehr technischen Themen.
Was Du mitbringen solltest Du hast ein abgeschlossenes Studium oder eine vergleichbare Qualifikation im Bereich UX, Design oder Human-Computer Interaction. Du bist seit mindestens 5 Jahren im UX Design unterwegs, idealerweise im Software Kontext, im Gesundheitsbereich und/oder in einem agilen Umfeld mit stark regulierten Themen.
Vacancy at the Berlin University for a professorship (W2) in the field of Health Informatics, which may and should also initiate its own research projects. A Bachelor's programme in Computer Science in Culture and Health and a Master's programme in Applied Computer Science are offered.The teaching assignment is in Bachelor's and Master's degree programmes of the department at the University in Berlin.
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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.