R Developer, Life Science Background

This is a fully remote position, open to applicants in Europe.

📋 Description

• Collaborate with bio and life science organizations to tackle intricate challenges using data.

• Engage in projects ranging from drug discovery to clinical trials that make a significant impact.

• Work alongside teams to implement R/Shiny solutions that facilitate scientific and clinical decision-making.

• Design, develop, and enhance data-driven applications utilized globally.

⛳️ Requirements

• Proficient in R programming.

• Skilled in processing, analyzing, and visualizing biological data, particularly clinical data.

• Familiarity with version control systems such as Git.

• Experience in creating web applications or websites using R/Shiny or JavaScript.

• Proficiency in developing and maintaining R packages.

• Background in requirements gathering and backlog management.

• Master’s degree in bioinformatics or a related field (e.g., computer science, data science, biostatistics, mathematics) or equivalent professional experience.

• Possess a valid passport (if based outside of Poland) or ID (if based in Poland).

• Must reside in EMEA or LATAM regions.

• Experience with designing and maintaining reproducible data processing pipelines (e.g., Nextflow) is appreciated.

• Familiarity with applying data science methodologies (data engineering, machine learning) to business challenges is appreciated.

• Understanding of core concepts in molecular biology and bioinformatics is appreciated.

• Experience utilizing bioinformatics tools and databases (e.g., Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed) is appreciated.

• Ability to leverage advanced JavaScript for creating visually impressive applications is appreciated.

• Knowledge of advanced Shiny mechanisms (e.g., bindings, registering DataObj, performance optimization, promises, single-threading) and effective practical application is appreciated.

• Experience in cloud computing environments (AWS, Azure, GCP) is appreciated.

• Familiarity with database management systems like PostgreSQL, MySQL, or MongoDB is appreciated.

• Experience collaborating with scientists and clinical researchers is appreciated.

🏝️ Benefits

• Fully remote work available across Europe, Poland, or LATAM, with flexible hours that enhance focus, deep work, and work-life balance.

• Engaging projects in life sciences—from drug discovery to clinical trials—where your R and Shiny solutions directly impact scientific and clinical decisions.

• A hands-on engineering position with genuine ownership, enabling you to design, build, and develop data-driven applications used by researchers and scientists globally.

• Collaborate with seasoned data scientists, bioinformaticians, and engineers in a supportive, knowledge-driven environment.

• Competitive B2B compensation that reflects your experience and career level, accompanied by a transparent salary and growth framework.

• Allocated time and budget for ongoing professional development, including conferences, workshops, and continuous learning opportunities.

• Opportunity to advance as an independent expert in R (R/Shiny) within a robust data science and open-source community.

• A remote-first culture that prioritizes trust, autonomy, and continuous improvement, valuing quality, ownership, and thoughtful problem-solving.