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.
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
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.
Unsere Technologien verstecken sich in vielen Bereichen des Alltags und begegnen Ihnen öfter als Sie denken: beispielsweise in Smartphones, auf Glasfassaden, in Solar- und PV-Anlagen oder auch in Mikrochips für die Computer- und Kommunikationsbranche. Deine Aufgaben Hast du Lust, mithilfe von Software komplexe Prozesse einfacher zu machen? Dich reizt es, aktiv an der digitalen Zukunft unserer Branche mitzuarbeiten?
Weiterbildung, die Spaß macht: Über unsere People & Culture Development nehmt Ihr an Trainings wie Projektmanagement, Englisch und Workshops zur Weiterentwicklung teil und baut eure fachlichen sowie persönlichen Fähigkeiten weiter aus International unterwegs: Ihr habt die Möglichkeit, ein (Theorie-)Auslandssemester an einer Partnerhochschule der DHBW zu absolvieren Top Perspektiven: Mit Engagement und guten Leistungen stehen euch nach dem Studium viele spannende Karrierewege bei uns offen Das bringt Ihr mit (Fach-)Abitur oder Fachhochschulreife Technisches Verständnis und sicherer Umgang mit Computern Begeisterung für Informatik und KI-getriebene Themenfelder Lust auf Teamwork und aktives Mitgestalten Strukturierte, zuverlässige Arbeitsweise und Offenheit für Neues Rahmenbedingungen: flexibles Arbeiten durch Vertrauensarbeitszeit, Urlaubs- und Weihnachtsgeld, 30 Tage Urlaub Der Start bei uns: ausführliche Onboarding-Phase mit vielseitigen Einführungsveranstaltungen, Einarbeitung durch Paten, E-Learnings, Start-Up Woche mit Auszubildenden und Studierenden in den ersten Wochen Wohlfühlen: kostenlose Tiefgarage, subventioniertes, frisch zubereitetes Essen in der hauseigenen Kantine/kostenlose Heißgetränke, Gesundheitsmanagement, Fitnessraum in Weingarten, Ruheraum, Tischkicker, gemeinsame Events und Sportveranstaltungen Entwicklung: Aus- und Weiterbildungsmöglichkeiten durch unsere interne P&C-Academy oder durch externe Schulungen, vielfältige Übernahmemöglichkeiten nach der Ausbildung bzw. nach dem Studium / Ausbildungsleitung und Ausbildungsbeauftragte fördern euer Talent und begleiten euch fachlich und persönlich auf eurem Weg Extras: Arbeitgeberzuschuss zu vermögenswirksamen Leistungen, mobile Endgeräte der neuesten Generation (iPhone, Surface Laptop, AirPods Pro) auch zur privaten Nutzung, EGYM Wellpass, Workation, Corporate Benefits: Rabatte bei Markenanbietern Wir freuen uns auf dich!
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.
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.
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.
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