R Shiny Developer at SuperStaff

Manila, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

09 May, 26

Salary

0.0

Posted On

08 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

R Programming, R Shiny, Back-End Development, Data Visualization, Clinical Research, Problem-Solving, Analytical Skills, Communication, Collaboration, Object-Oriented Programming, Data Integration, Software Development Best Practices, Usability, Documentation

Industry

Outsourcing/Offshoring

Description

We are looking for a skilled R Programmer with a passion for building interactive data applications using R Shiny. You enjoy collaborating with cross-functional teams, solving complex problems, and delivering high-quality, user-friendly tools that support clinical research and data analysis. Sponsor-Dedicated In this role, you will be fully embedded within one of our pharmaceutical clients, working closely with biostatisticians, data managers, and clinical teams. You’ll contribute to innovative data visualization and reporting tools that support real-world evidence and clinical trial analytics. Position Overview This is a full-time, remote position focused on developing and maintaining R Shiny applications. You will be responsible for writing clean, efficient R code, implementing back-end functionality, and ensuring the performance and usability of applications. Your work will directly support clinical research and regulatory submissions. Key Responsibilities Develop and maintain R Shiny applications for clinical and real-world data Write, test, and optimize R code for performance and scalability Collaborate with biostatisticians and data managers to define requirements Implement back-end logic and data integration for interactive tools Ensure application quality, usability, and documentation Contribute to software development best practices and innovation Proficiency in R programming and object-oriented programming (OOP) Experience with R Shiny and back-end web development Strong problem-solving and analytical skills Excellent communication and collaboration abilities Ability to work independently in a remote environment Experience in healthcare or clinical research is a plus Bachelor’s degree in Computer Science, Statistics, or a related field HMO with 1 free dependent upon hire Life Insurance 10% Night Differential 20 PTO credits annually VL and SL cash conversion Annual Performance-Based Merit Increases and Employee Recognition Great Company Culture Career Growth and Learnings Night Shift Work from Home

Responsibilities

Develop and maintain R Shiny applications for clinical and real-world data. Collaborate with biostatisticians and data managers to define requirements and ensure application quality.