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Open-source AI, R & Python, cloud statistical computing, and SAS-to-OS migration to speed regulated drug development.
R Developer, Life Science Background
Location
Europe
Posted
78 days ago
Salary
0
Seniority
Senior
Job Description
R Developer, Life Science Background
Appsilon
• Join Appsilon as an R/Shiny Dev, partnering with top bio and life science companies, solving complex challenges with data. • Drive real impact on projects from drug discovery to clinical trials with your R and Shiny solutions. • Collaborate with cross-functional teams and lead tech engineering roles to evolve data-driven applications.
Job 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.
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/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.
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