R Developer, Life Science Background

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🕒 June 30

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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 solving complex challenges with data. • Work on projects from drug discovery to clinical trials that drive real impact. • Collaborate with teams to implement R/Shiny solutions that support scientific and clinical decisions. • Design, build, and evolve data-driven applications that are used globally.

🎯 Requirements

• Proficient in R • Experience in processing, analyzing, and visualizing biological data (especially clinical data) • Experience with version control systems such as Git • Experience in building web applications or websites using R/Shiny or JavaScript • Experience in creating and maintaining R packages • Experience in requirements gathering and backlog management • Master’s degree in bioinformatics or a related discipline (e.g., computer science, data science, biostatistics, mathematics) or equivalent work experience • You have a valid passport (when you're based outside of Poland) or ID (if you're based in Poland). • Must be located in EMEA or LATAM. • Experience in designing and maintaining reproducible data processing pipelines (i.e., Nextflow) (appreciated) • Experience in applying data science approaches (data engineering, machine learning) to business problems (appreciated) • Understanding of fundamental concepts in molecular biology and bioinformatics (appreciated) • Experience in using bioinformatics tools and databases (i.e., Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed) (appreciated) • Ability to use advanced JavaScript to implement visually impressive applications (appreciated) • Knowledge of advanced mechanisms of Shiny (e.g., bindings, register DataObj, performance, promises, single-threading, etc.) and ability to use them in practice effectively (appreciated) • Experience using cloud computing environments (AWS, Azure, GCP) (appreciated) • Experience with database management systems such as PostgreSQL, MySQL or MongoDB (appreciated) • Experience in collaboration with scientists and clinical researchers (appreciated)

🏖️ Benefits

• Fully remote work across Europe, Poland, or LATAM, with flexible working hours that support focus, deep work, and work–life balance. • Meaningful projects in life sciences - from drug discovery to clinical trials - where your R and Shiny solutions directly support scientific and clinical decisions. • A hands-on engineering role with real ownership, allowing you to design, build, and evolve data-driven applications used by researchers and scientists worldwide. • Collaboration with experienced data scientists, bioinformaticians, and engineers in a knowledge-driven, supportive environment. • Competitive B2B compensation aligned with your experience and career level, with a 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 within a strong data science and open-source community. • A remote-first, trust-based culture built on partnership, autonomy, and continuous improvement that values quality, ownership, and thoughtful problem-solving.