Bioinformatics-R shiny

pExcelra is a leader in biopharma data and analytics, that uniquely blends scientific understanding with technological expertise. This dual mastery empowers innovative drug discovery and development, transforming research data into actionable insights for groundbreaking discovery. /ppWe have locations in Hyderabad (head offices – India), Ghent (Belgium), London (UK), Utrecht (The Netherlands), and Boston/SFO (US). /ppWe are hiring a R-Shiny Bioinformatician to develop, maintain, and enhance scientific applications and bioinformatics solutions that support research programs across multiple therapeutic and scientific domains. /ppThis role combines bioinformatics, scientific software development, cloud technologies, data visualization, and AI-enabled analytics. You will work across a broad range of omics datasets including transcriptomics, genomics, proteomics, microbiome, and single-cell sequencing data while developing interactive applications that empower scientists to explore and interpret complex research data. /ppYou will play a key role in delivering analytical solutions, building scalable data products, and supporting cloud-based platforms that enable researchers to generate insights from diverse biological datasets. /ph3bKey Responsibilities /b /h3h3bScientific Application Development /b /h3ulliDevelop, maintain, and enhance R Shiny applications for exploration, visualization, and interpretation of omics and clinical datasets. /liliBuild interactive dashboards and analytical tools that enable researchers to generate publication‑ready figures and insights. /liliWork closely with scientific stakeholders to translate research requirements into practical application features. /liliMaintain and improve existing scientific software platforms and analytical applications. /li /ulh3bBioinformatics Analysis /b /h3ulliDeliver bioinformatics analyses and software solutions across multiple research programs covering transcriptomics, genomics, proteomics, and microbiome data. /liliConduct RNA‑seq, single‑cell RNA‑seq, genomics, microbiome, and multi‑omics analyses. /liliSupport interpretation of complex biological datasets and communicate findings to multidisciplinary teams. /liliContribute to the development and execution of reproducible analytical workflows. /li /ulh3bData Products and Workflow Development /b /h3ulliDesign and develop tools that support scientific data exploration, analysis, and reporting. /liliDevelop automated workflows and analytical pipelines for processing biological datasets. /liliBuild and maintain solutions that improve researcher productivity and reduce manual analytical effort. /liliSupport data integration and harmonisation across multiple biological data sources. /li /ulh3bCloud Platforms and AI Integration /b /h3ulliBuild and maintain AWS‑hosted analytical platforms and applications. /liliSupport cloud infrastructure components including data storage, application hosting, monitoring, security, and user access management. /liliDevelop and maintain deployment pipelines for scientific applications. /liliIntegrate AI‑powered capabilities into analytical platforms to improve scientific discovery and data accessibility. /li /ulh3bScientific Collaboration /b /h3ulliCollaborate with scientists, bioinformaticians, software engineers, and project stakeholders across multiple client and internal projects. /liliPresent analytical findings and technical solutions to both technical and non‑technical audiences. /liliContribute to best practices in software development, documentation, testing, and reproducible research. /liliSupport continuous improvement of scientific data platforms, workflows, and analytical methodologies. /li /ulh3bYou Bring /b /h3ulliA PhD in Bioscience engineering, Bioinformatics, computer science, Computational Biology, Data Science, Computer Science, Genomics, Systems Biology, or a related discipline– or an MSc with 5+ years of equivalent experience. You can demonstrate this through peer‑reviewed publications, contributions to public code repositories, or relevant project work. /liliStrong experience with R and R Shiny application development. /liliExperience working with transcriptomics, genomics, proteomics, microbiome, or other omics datasets. /liliExperience conducting RNA‑seq and/or single‑cell sequencing analyses. /liliStrong programming skills in R and Python. /liliExperience building scientific software applications and data visualization solutions. /liliExperience working with AWS cloud services and cloud‑hosted analytical applications. /liliExperience developing reproducible analytical workflows and bioinformatics pipelines. /liliStrong analytical, troubleshooting, and problem‑solving skills. /liliExcellent communication and collaboration skills. /liliAbility to work independently while partnering effectively with multidisciplinary teams. /li /ulh3bPreferred /b /h3ulliExperience with single‑cell RNA‑seq analysis and multi‑omics integration. /liliExperience developin