R 开发工程师(生物背景)
R Developer with Bio Background
我们期望你具备:
- 精通 R 语言进行统计编程、数据处理和可视化
- 了解 CDISC 标准(如 SDTM、ADaM、SEND)及行业最佳实践
- 有 TLF(表格、列表和图形)编程经验
- 理解 GxP 环境中的验证原则
- 有医学数据审查和药物警戒经验
- 有使用 Git 等版本控制系统经验
- 熟悉端到端的药物开发生命周期和临床试验流程
- 有需求收集和待办事项管理经验
- 生物信息学或相关专业(如计算机科学、数据科学、生物统计学、数学)硕士学历,或同等工作经验
- 你需要拥有有效的护照(如果你在波兰以外地区工作)或身份证(如果你在波兰工作)
- 必须位于 EMEA 或 LATAM 地区
此外,我们更欣赏你具备:
- 使用 R/Shiny 构建网页应用或网站的经验
- 设计和维护可重复的数据处理流程(即 Nextflow)的经验
- 理解分子生物学和生物信息学的基本概念
- 使用生物信息学工具和数据库(如 Bioconductor、BLAST、NCBI、EMBL、PDB、PubMed)的经验
- 创建和维护 R 包的经验
- 与科学家和临床研究人员合作的经验
对你的回报:
- 在欧洲、波兰或 LATAM 地区远程办公,灵活的工作时间有助于专注、深度工作和工作与生活的平衡。
- 参与生命科学领域的有意义项目——从药物发现到临床试验——你的 R 和 Shiny 解决方案直接支持科学和临床决策。
- 一个注重实践的工程角色,拥有实际的职责,让你设计、构建并发展由全球研究人员和科学家使用的数据驱动应用。
- 与经验丰富的数据科学家、生物信息学家和工程师合作,在知识驱动、支持性的环境中工作。
- 与你的经验和职业水平相匹配的具有竞争力的 B2B 薪酬,拥有透明的薪资和成长框架。
- 为持续的专业发展提供时间和预算,包括会议、研讨会和持续学习。
- 在强大的数据科学和开源社区中成长为独立的 R(R/Shiny)专家的机会。
- 以远程优先、基于信任的文化为基础,强调合作、自主性和持续改进。
查看英文原文
What we expect from you:
- Proficient in R for statistical programming, data manipulation, and visualization
- Knowledge of CDISC standards (e.g., SDTM, ADaM, SEND) and industry best practices
- Experience in TLF (Tables, Listings, and Figures) 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 end-to-end drug development lifecycle and clinical trial workflows
- 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.
Additionally, we'd appreciate if you have:
- Experience in building web applications or websites using R/Shiny
- Experience in designing and maintaining reproducible data processing pipelines (i.e., Nextflow)
- Understanding of fundamental concepts in molecular biology and bioinformatics
- Experience in using bioinformatics tools and databases (i.e., Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed)
- Experience in creating and maintaining R packages
- Experience in collaboration with scientists and clinical researchers
What’s in it for you:
- 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.
Important note: To complete the hiring process, you need to have a valid government-issued ID (for Polish citizens) or a valid passport (for non-Polish citizens).
What can you expect during the recruitment process?
- General interview with the People Team
- Home assignment
- Tech Interview
- Hiring Manager Interview (Head of Technology).
Does this sound like a great opportunity for you?
Use the Apply button below!
Appsilon is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, genders, experiences, abilities, and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.
Originally posted on Himalayas