Apply statistical methods to detect anomalies, trends and shifts. Your Profile BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics or Engineering.At least 5 years experience in the field of data analytics, data mining.Technical expert in the field of data analytics, data mining.Proficient in Python and SQL languages.Experienced with statistical modelling and data mining techniques.Strong problem-solving skills with ability to multi-task and manage multiple projects simultaneously.
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Completed degree in a medically related field (e.g., Health Sciences and Technology, Biomedical Engineering at a University of Applied Sciences) or a comparable medical-technical professional backgroundExperience with biophysiological measurement methods (e.g., EEG, EMG) is an advantageExperience in conductance of medical device studies is an advantageFluent in English (spoken and written); good German skills are an advantageStrong technical affinityGood computer skills; experience with programming languages such as MATLAB, Python, or similar is an advantageVery thorough, structured, and independent working style with a strong commitment to qualityAbility to work well in a team as well as independently and flexibly
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.
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.
. • 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!
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.