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!
. • 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.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.
. • Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines • Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables • Use and promote the use of established standards, SOP and best practices • Provide training and mentoring to SP team members Requirements: • Bachelor's Degree in Maths, Computer science, Statistics, or related field • 7+ years’ Statistical Programming experience within the Life Science Industry • Strong Efficacy experience • Advanced knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you • Global exposure • Variety of therapeutic areas • Collaborative and supportive team environment • Access to cutting-edge and innovative, in-house technology • Excellent career development and progression opportunities • Work-Life Balance, with a strong focus on a positive well-being Unleash your potential!
Azure ML, Azure Databricks) oder anderen Cloud-Lösungen Mehrjährige Projekterfahrung im Bereich Data- & Analytics-Architekturen sowie erste konkrete Erfahrung in AI-Projekten (z. B. Forecasting, Klassifikation, NLP, Computer Vision) Tiefgreifendes fachliches Verständnis und Umfassende technologische Expertise und tiefes fachliches Verständnis, erworben in zahlreichen Projekten über verschiedene Branchen hinweg Wünschenswert fundiertes (zertifiziertes) Know-how im agilen Produkt- und (Multi-)Projektmanagement (z.