R Developer – Bio Background

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Appsilon

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🏥 Healthcare

💼 Consulting

💊 Pharmaceuticals

Healthcare • Consulting • Pharmaceuticals

Appsilon is a technology company that partners with life sciences and pharmaceutical organizations to build open-source, validated data analytics and visualization solutions using R, Python, and Shiny. They provide cloud-native Statistical Computing Environments (SCEs), GxP-compliant infrastructure, Axon. R validation tooling, and SAS-to-open-source migration to accelerate clinical development, regulatory submissions, and enterprise analytics in highly regulated settings. Appsilon delivers B2B services combining software engineering, data science, and AI to produce production-grade clinical apps, dashboards, and automation for pharmaceutical and life sciences companies.

📋 Description

• Partner with bio and life science companies to solve complex challenges with data • Develop R and Shiny solutions supporting scientific and clinical decisions • Design, build, and evolve data-driven applications used by researchers and scientists • Work on projects spanning drug discovery to clinical trials • Collaborate with data scientists, bioinformaticians, engineers, scientists, and clinical researchers • Gather requirements and manage backlogs • Participate in the end-to-end development and delivery of applications • Complete a home assignment and participate in interviews with the People Team, Technical Interview panel, and Head of Technology

🎯 Requirements

• Proficient in R for statistical programming, data manipulation, and visualization • Knowledge of CDISC standards, including SDTM, ADaM, and SEND • Experience in TLF programming • Understanding of validation principles within a GxP environment • Experience with Medical Data Review and Pharmacovigilance • Experience with version control systems such as Git • Familiarity with the drug development lifecycle and clinical trial workflows • Experience in requirements gathering and backlog management • Master’s degree in bioinformatics or a related discipline, or equivalent work experience • Valid passport when based outside Poland, or valid ID when based in Poland • Must be located in EMEA or LATAM • Experience with R/Shiny web applications or websites is appreciated • Experience with reproducible data processing pipelines such as Nextflow is appreciated • Understanding of molecular biology and bioinformatics fundamentals is appreciated • Experience with bioinformatics tools and databases such as Bioconductor, BLAST, NCBI, EMBL, PDB, and PubMed is appreciated • Experience creating and maintaining R packages is appreciated • Experience collaborating with scientists and clinical researchers is appreciated

🏖️ Benefits

• Fully remote work across Europe, Poland, or LATAM • Flexible working hours supporting focus, deep work, and work–life balance • Meaningful life sciences projects • Real ownership over data-driven applications • Collaboration with experienced data scientists, bioinformaticians, and engineers • Competitive B2B compensation aligned with experience and career level • Transparent salary and growth framework • Time and budget for continuous professional development, including conferences, workshops, and continuous learning • Opportunity to grow as an independent R (R/Shiny) expert • Remote-first, trust-based culture built on partnership, autonomy, and continuous improvement • Diverse and inclusive workplace