R Shiny Experts in Germany
matched in minutes by AIHire experts who turn R analyses into interactive dashboards, internal tools and client-facing data products with Shiny modules, reactive programming and cloud deployment. FRATCH connects you quickly with vetted, available freelancers whose skills match your project.
Meet FRATCH Experts in Germany, who have recently used R Shiny
Michael S.
Last position:
Data Analyst, Data Scientist at CompuGroup Medical Deutschland AG, docmetric GmbH
Development of AI and traditional models to analyze medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, referral profile analyses, and prescription analyses. Analyses in the field of Real World Evidence.
Healthcare IT, pharmaceutical industry
Tasks, responsibilities:
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of results using customer dashboards
- Developing and implementing data warehouse adaptations
- Deriving recommendations for action
Methods, technologies:
- Simulation
- Artificial intelligence
- Python
- R
- SQL
- Microsoft Power BI
- Amazon Web Services
- Elasticsearch
- PostgreSQL
- Databricks
- Multivariate statistics
Eric B.
Last position:
Quality Assurance Manager (QSV) at Federal Employment Agency
Supporting the International Web Presence of the BA (IntWeb) project in the area of quality management, with the aim of taking responsibility for the quality of processes and project results while considering BA standards. The main objectives of the project are to give professionals abroad a quick overview of their opportunities for moving to Germany and to enable them to take the necessary steps consistently and with digital support by providing access to services.
Defining the general guidelines in the QA handbook
Summarising test results in QA reports for PLA
Analysing project results for improvement opportunities
Quality management of requirements analysis (particularly processes, methods, and tools)
Ensuring compliance with SERA requirements
Creating a cross-project test concept
Agreeing on sprint completion reports
Formal review of work results in accordance with requirements and/or the project plan
Contact person for internal audit, external audits by auditors, or BRH (Federal Court of Audit)
Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes
Michael N.
Last position:
Senior AI Engineer | Forward Deployed Engineer at Tiefbau
- Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
- Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
- Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.
Murad K.
Last position:
Senior AI/ML Engineer at Quantistry GmbH
- Led end-to-end delivery of ML/AI applications for the QuantistryLab simulation platform, from requirements definition and solution design to development, testing, deployment, and production support, coordinating efforts across back-end, DevOps, and ML teams
- Designed and implemented a compound search system with an open-weights LLM, the Pydantic AI agent framework, and the Model Context Protocol (MCP), exposing it through FastAPI endpoints
- Deployed and configured vLLM-based LLM serving on Kubernetes
- Built CI/CD pipelines and Helm charts to automate deployments across staging and production environments
- Instrumented the search system with OpenTelemetry spans and traces, integrating with the Honeycomb observability platform to monitor component-level latency and functional errors
- Developed a custom evaluation dataset and implemented evaluations for retrieval relevance, answer correctness, tool-call accuracy, and end-to-end task success
- Reduced infrared spectrum prediction time by 83% (from 60 to 10 minutes) by replacing a quantum-mechanical model with a pretrained graph neural network; fine-tuned the model using PyTorch, built and containerized the inference pipeline with Docker, and integrated it into the platform
- Implemented an MLflow model registry with MinIO-backed artifact storage
- Advised sales and science teams on ML/AI applications for prospective client projects, providing technical expertise to shape proposed solutions and prototypes
Technologies: AWS, Hetzner, Kubernetes, Helm, Docker, vLLM, Pydantic AI, MCP, Qwen, Llama 3, MLflow, MinIO, GitHub Actions, Python, FastAPI, OpenTelemetry, Honeycomb, PyTorch, Polars, pytest
Nikolai G.
Last position:
Clinical Data Manager at Dr. Falk Pharma
- Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.
Philipp G.
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Shruti K.
Last position:
Scientific Assistant at Deutsche Sporthochschule Köln
- Developed a React-based research platform with interactive 3D/AR product visualization workflows.
- Implemented interaction tracking and usage analytics to measure user behavior and feature engagement within a research platform.
- Deployed the research platform and integrated a R Shiny analytical dashboard, enabling researchers to interactively explore meta-analysis results within a unified platform.
Friedbert W.
Last position:
Senior Consultant at Freelance Senior Consultant
Benjamin P.
Last position:
Growth Strategy Advisor at Self-employed
Extensive SKU portfolio review and optimisation within the “cold cuts / vegan” business pillar (subsequent project extension into "ready meals / vegan" and translation into annual brand & sales plan 2027 (Rügenwalder Mühle 04/2025 - 06/2026)
Business strategy development for a future-proof meat-based portfolio pillar (legacy business) (Rügenwalder Mühle 04/2025 - 06/2026)
Review and development of a coherent brand portfolio architecture across meat- and plant-based products for an upcoming brand identity and packaging refresh (Rügenwalder Mühle 04/2025 - 06/2026)
Development of a global brand platform for “Möller’s” (Omega-3 supplementation) to empower growth from portfolio extensions and untapped / underdeveloped geographies (Orkla “Möller’s” 11/2024 - 05/2025)
Translating the global positioning into portfolio architecture and coherent creative (Orkla “Möller’s” 11/2024 - 05/2025)
Developing the cornerstones for a long-term brand rejuvenation that appeals to modern fashion shoppers without alienating legacy customers (ETERNA Mode 08/2024 - 10/2024)
Developing first pathways to simplify a highly complex product range architecture (ETERNA Mode 08/2024 - 10/2024)
Supporting the company owner (Mindful Capital Partners) at evolving and streamlining a compelling corporate story to address prospective distribution partners and investors (KLAPP Skin Care 06/2024 - 07/2024)
Development of a new brand platform for European markets to elevate brand relevance, audience engagement and distinctiveness (Mazda Motor Europe 05/2022 - 01/2024)
Assessment and recalibration of creative agency collaboration for efficient deployment (Mazda Motor Europe 05/2022 - 01/2024)
Numerous projects across risk reduced products and innovations, such as “tobacco heating”, “vaping” and “modern oral” (British American Tobacco 02/2018 - 03/2024)
Development of master playbooks for the CEN region as well as go-to-market approaches and supporting local markets with toolkits for launch (British American Tobacco 02/2018 - 03/2024)
Strategic lead for a campaign development in the context of Shell’s transformation into a net zero integrated energy provider (Shell International 03/2021 - 06/2022)
Development of a change & communications strategy to facilitate all corporate relations messaging in the context of the energy transition into renewables (Shell DE 03/2021 - 06/2022)
Rejuvenating the biggest and most long-standing portfolio brand “Rama” in a challenging and highly competitive market environment (Upfield 07/2021 - 01/2022)
International brand footprint development and translation into creative/packaging guidelines (Upfield 07/2021 - 01/2022)
Facilitation of a brand redesign process inside-out to support the growing global presence in a meaningful and distinctive way (Welthungerhilfe 02/2021 - 11/2021)
Supporting a cross-functional client & agency team (PIA) to redesign the communication organisation and its workflows in line with content requirements (formats and touchpoints) to streamline the creative asset production process and its deployment (Porsche / PIA Group 09/2020 - 12/2020)
Leading the process to carve out UNICEF Germany’s brand footprint for enhanced comprehension and emotional engagement with the private donor base (UNICEF 11/2018 - 07/2020)
Guiding implementation through development of campaigning framework & tools (UNICEF 11/2018 - 07/2020)
Numerous projects with Lidl “Non-Food” international across diverse topics including development of a new campaigning model (asset development), sustainability communications, portfolio architecture, product innovation (Lidl International 01/2018 - 03/2020)
Strategic agency lead for Vodafone Germany covering Brand Strategy & Insights across mobile, broadband, TV etc. (Vodafone 12/2014 - 04/2017)
Strategic agency lead for Mercedes-Benz Greater China on brand campaign development and launch / relaunch of AMG GT, S-Class Maybach, E-Class and SMART (Mercedes Benz China 01/2014 - 12/2014)
Enjeda C.
Last position:
Associate Researcher — AI & Computer Vision at University of Augsburg
- Research multimodal AI systems integrating image, text, and structured data.
- Build end-to-end AI pipelines for data processing, model training, and evaluation.
- Develop and test computer vision and image recognition solutions using deep learning.
Yenal Y.
Last position:
Shiny R Development at RadixITS Gbr
- Implementation and mapping of regulatory requirements (CSRD, ESRS) in Shiny dashboards and backend functions
- Design and development of data-driven modules in Shiny incl. ESG metrics and reporting templates
- Integration of data sources (SQL, SAP HANA, APIs, CSV/Excel) via DBI, odbc, httr and readr
- Creation of interactive visualizations with plotly, highcharter and DT (DataTables)
Sebastian D.
Last position:
Data Scientist at CLADE GmbH
- Designed and implemented a robust Python-based data processing framework that supported the transition from R to Python and significantly improved data science productivity by providing maintainable, standardized modules for frequently used workflows, following coding best practices and DevOps principles
- Evaluated, trained, and deployed machine learning models on cloud platforms and edge devices, enabling fully automated mid-infrared (MIR) data evaluation pipelines that eliminated manual analysis steps and significantly shortened the time from measurement to prediction for customers and internal stakeholders
- Analyzed and interpreted multivariate MIR spectral data from the company’s proprietary analyzer using R and Python, supporting reliable identification and quantitation of chemical compounds in solution
Kabir K.
Last position:
AI Engineer / Banking IT Specialist at Hamburg Commercial Bank (HCOB) & Real Estate Firm
- Developed a retrieval-augmented generation (RAG) application using LangChain and LangGraph for corporate document parsing, delivered as an installable Electron desktop application with local AI models via Ollama.
- Currently providing ongoing AI feature support for the Loan Pricing Tool at Hamburg Commercial Bank, with a commitment of three days per month.
- Architected Kubernetes-native solutions, including Helm chart configuration and Azure DevOps pipeline integration.
Kevin B.
Last position:
Procurator and AI Lead at ValueData GmbH
- Serve as AI lead for life-science solutions, integrating advanced AI models directly into company workflows and ensuring seamless deployment.
- Design and implement deep learning architectures (PyTorch, Keras) for complex biomedical challenges, including cell segmentation, multimodal omics analysis, and prediction of point clouds.
- Develop and deploy robust LLM-based systems, including RAG architectures and agentic workflows using LangGraph, to facilitate natural-language interaction with complex medical data.
- Lead cross-functional initiatives to apply foundation models and explainable AI (xAI) to clinical and evolutionary algorithms.
Alexey L.
Last position:
Frontend Styler at Finanz Informatik
- Implementation of business transaction layouts for the online banking UI in compliance with BITV (accessibility)
- Technologies: JavaScript, jQuery, LESS
Discover over 15,000 top freelancers
Statistics of experts using R Shiny
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
3.3 years
Positions per freelancer
9
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
92%
Doctorate
36%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Germany using R Shiny
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
R Shiny experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (68%)
- Banking and Finance (56%)
- Professional Services (48%)
- Education (44%)
- Automotive (40%)
- Healthcare (40%)
- Biotechnology (36%)
- Pharmaceutical (28%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What R Shiny does
R Shiny is an R framework for building interactive web applications without requiring a separate front-end stack. It connects R code, data processing and visual output through reactive programming. Companies use it to turn statistical models, reports and exploratory analyses into tools that teams, customers or decision-makers can use in a browser.
Applications and users
R Shiny supports dashboards, scenario planners, forecasting tools, clinical data views and operational workbenches. It is useful when users need to filter data, change assumptions, compare outcomes or inspect model results without writing R themselves.
- Executive and operational dashboards
- Self-service reporting interfaces
- Model exploration and simulation tools
- Research and clinical data applications
Ecosystem and tooling
Strong R Shiny work combines the Shiny package with the wider R ecosystem. Experts often use tidyverse for data preparation, ggplot2 for visualisation, DT or reactable for tables, and bslib for responsive interface design. Shiny modules, validation, testing and package management help keep larger applications maintainable.
Delivery in Germany
Companies in Germany use R Shiny for analytics in finance, manufacturing, life sciences, public services and research. Freelance specialists can work remotely with local teams or join workshops on site when domain knowledge, German-language communication or stakeholder training matters. Deployment may involve Shiny Server, Posit Connect, Docker or cloud infrastructure.
When to bring in an expert
External expertise helps when an R analysis has outgrown notebooks or static reports, when an internal dashboard needs a reliable interface, or when a prototype must become a governed product. A specialist can also improve performance, restructure reactive logic, connect databases and prepare authentication, deployment and documentation.
- Convert an R prototype into a usable web application
- Connect Shiny to SQL databases, APIs or enterprise data
- Refine slow reactive workflows
- Establish deployment and maintenance practices
Quality signals
The strongest professionals understand both analytical accuracy and application behaviour. They separate data, business logic and presentation, design clear reactive dependencies, handle errors and protect sensitive data. Look for evidence of shipped Shiny applications, thoughtful user flows, tested modules and practical experience with the deployment environment your team uses.
Frequently asked questions
Key details about R Shiny, drawn from the questions we get asked most.
Companies use R Shiny to deliver interactive dashboards, analytical tools, simulations and reporting applications in a web browser. It is especially useful when the underlying work already relies on R, statistical models or data science workflows.
R Shiny offers more control over custom analysis, reactive workflows and model-driven interfaces than typical business intelligence tools. Power BI and Tableau can be faster for standard dashboard delivery, while Shiny is often the better fit for bespoke statistical applications and advanced R logic.
A strong R Shiny specialist should understand R, tidyverse, SQL, data visualisation and reactive programming. Useful adjacent skills include JavaScript or CSS for interface refinement, Git for collaboration, testing, authentication and deployment with Posit Connect, Shiny Server, Docker or cloud services.
The right level depends on the scope. A small internal dashboard may need solid R Shiny delivery skills, while a customer-facing or regulated application calls for experience with performance, security, testing, deployment and long-term maintenance.
Yes. R Shiny projects are well suited to remote collaboration through shared repositories, issue tracking and regular demonstrations. For teams in Germany, German-language workshops may help with domain discovery and user training, while technical delivery can often remain remote.
R Shiny is often a strong choice when R contains the core models, transformations and visualisations and the application mainly serves analytical users. A custom JavaScript application may be preferable when the product needs a highly tailored front end, broad consumer scale or extensive real-time interaction.
Ask how the professional structures reactive logic, separates application layers and handles validation, errors and slow data operations. Review a relevant R Shiny example and discuss deployment, testing, access control and how users influenced the interface design.
Freelancers working with R Shiny should be ready to translate analytical requirements into clear user workflows and explain model results to non-specialists. German projects may also involve strict data governance, internal review processes and collaboration with distributed business or research teams.
The average hourly rate of freelancers in Germany who have used R Shiny in their recent projects is 94 €, which corresponds to a daily rate of about 755 € based on an 8-hour working day.
Of the freelancers in Germany who have used R Shiny in their recent projects, 100% hold at least a Bachelor's degree, 92% hold at least a Master's degree, and 36% hold a doctorate.
On average, freelancers in Germany who have used R Shiny in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Germany who have used R Shiny in their recent projects are German (100%), English (100%), and French (36%).
The most common industries among freelancers in Germany who have used R Shiny in their recent projects are Information Technology (68%), Banking and Finance (56%), and Professional Services (48%).
The most common business areas among freelancers in Germany who have used R Shiny in their recent projects are Information Technology (88%), Business Intelligence (84%), and Product Development (80%).
Main locations of FRATCH Experts, who have recently used R Shiny
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
