Design and develop engaging R Shiny applications, dashboards and visualisations to support clinical study monitoring, data review, safety an
Location: Bonn, Darmstadt or Berlin Your IT Future, Delivered With a global team of 5600+ IT professionals, DHL IT Services connects people
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Who We Are BeNeering was founded in 2007 by experienced SAP solution architects who had spent years working inside global corporations.
Entwickelt und betreibt Automations- und AI-Agent-Lösungen für digitale Prüfungen, integriert Plattformen und leitet das Projekt mit.
Berät die Geschäftsführung zu Gesellschaftsrecht und M&A, überwacht den EU AI Act und erstellt interne Richtlinien für Generative KI.
Act as the R&D domain expert and solution architect for Aily App modules: - Internally: Translate R&D routines into product requirements and
Define the enterprise AI & Automation strategy by evaluating business priorities, transformation opportunities and technology developments a
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
As a Software Engineer, you develop MAIA further and help decide from the start how we solve problems.
As a Product Engineer, you own features from start to finish: from conversations with customers and concept work through to implementation a
As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
Verantwortet Features einer GenAI-Plattform von Kundengespräch bis Produktion, baut Agenten-Workflows und misst deren Wirkung mit Evals.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
Entwickelt die GenAI-Plattform MAIA weiter: Agentensysteme, RAG-Pipelines, Modellintegration und Evaluierung, vom Prototyp bis zur Produktion.
Konzeption und Umsetzung produktionsreifer GenAI- und Agentic-AI-Lösungen entlang des gesamten Entwicklungszyklus, von Architektur und Imple
Sie sind die technische Brücke zwischen Forschung, IT und KI-Technologie.
Sie begleiten die Max-Planck-Institute dabei, KI-Anwendungen in kleinen Pilotprojekten praktisch zu erproben und nutzbar zu machen und packe
Wir verbinden Menschen, Orte und das Leben.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Design and develop engaging R Shiny applications, dashboards and visualisations to support clinical study monitoring, data review, safety analysis and evidence generation. - Use R and advanced statistical techniques to transform complex clinical and real-world datasets into meaningful and accessible insights. - Build scalable, modular and well-documented solutions, while continuously improving performance, usability and user experience. - Partner with cross-functional colleagues to ensure solutions follow relevant CDISC standards, regulatory requirements and internal quality standards. - Share your expertise in R and R Shiny, contribute to best practices and automation initiatives, and support the development of colleagues across the team.
Around 5+ years of relevant experience in statistical programming, clinical data analysis, Real World Evidence/HTA, Medical Affairs or evidence generation, ideally within a pharmaceutical, biotech or CRO environment. - Strong hands-on experience with R and R Shiny, including application development, interactive dashboards, visualisation and tools such as ggplot2 or Plotly. - Good knowledge of the broader R ecosystem, which may include R packages, Git, CRAN, data wrangling and statistical methodologies. - Experience working with clinical or healthcare data. Knowledge of CDISC standards such as SDTM and ADaM, TLFs, or Phase IIIb/IV clinical trials would be particularly valuable. - A degree in Statistics, Mathematics, Computer Science, Life Sciences or a related discipline, or equivalent relevant experience. Knowledge of Python, SAS, cloud technologies, Posit Connect/Shiny Server or Real World Data is welcome but not essential.
We know that great candidates don’t always meet every requirement listed in a job description. If you are excited about the opportunity and believe your experience could bring value to the team, we encourage you to apply. Employment with ICON is contingent upon having the legal right to work in the country where the role is based.
Rewards &
may include: - Competitive base salary and performance related incentives - Health and wellbeing programmes including medical, dental, and vision coverage where applicable - Retirement and pension plans - Life assurance and disability coverage - Employee assistance programmes and wellbeing resources - Learning and development opportunities through structured training and career pathways Benefits may vary depending on role and location. Visit our careers site to read more about the
ICON offers. Inclusion and Accessibility ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported. If you require reasonable accommodations during the recruitment process, please let us know or submit a request here. Are you a current ICON Employee? Please click here to apply
Senior Clinical Data Scientist – R Shiny At ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON’s global expertise. As the world’s largest FSP organisation, with over 90 sponsor partnerships, we offer stability, career development and a collaborative environment where your work contributes to the development of treatments that benefit patients worldwide. As a Senior Clinical Data Scientist at ICON, you will analyse clinical trial data and support the statistical analysis process to ensure high-quality results.
In this role, you will have the opportunity to transform complex clinical and real-world data into intuitive applications and analytical solutions that help answer meaningful clinical questions and support evidence-based decision-making. You will work alongside statisticians, data managers, programmers and clinical colleagues, while helping shape how we use R and modern analytical technologies across our projects.
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