R Shiny Developer/ Data Scientist (Remote)

Penfield-Search-Partners-2; Fairfield (CT); Remote; USD 110,000 - 150,000; Full time

Job summary

Penfield-Search-Partners-2 is seeking a hands-on Shiny developer to design and deliver interactive R Shiny applications for clinical study data. You will work directly with Biometrics stakeholders to translate requirements into practical dashboards and visualizations, focusing on development and delivery.

The ideal candidate has strong R Shiny skills, experience with clinical trial data, and the ability to work independently within a fast-moving environment.

Qualifications

• Hands-on R programming and Shiny development experience.
• Experience building Shiny dashboards with interactive visualizations.
• Experience with clinical trial data in pharma/biotech/CRO environments.
• Experience with stakeholder requirements and delivering functional apps.
• Strong data manipulation and visualization skills in R.
• Experience with databases or clinical data sources.
• Familiarity with Git/GitHub and collaborative development.

Responsibilities

• Design, develop, and maintain interactive R Shiny apps and dashboards for clinical studies and Biometrics.
• Gather requirements from stakeholders and translate needs into practical Shiny solutions.
• Create tools to improve data access, review, visualization, and decision-making.
• Collaborate with Biostatistics, Statistical Programming, Data Management, and others.
• Build apps that allow users to explore, visualize, and interact with study data.
• Enhance and maintain existing Shiny apps as requirements evolve.
• Develop reusable Shiny components and approaches.
• Troubleshoot issues and ensure quality through testing and validation.
• Communicate progress with technical and clinical teams throughout development.

Skills

R Shiny

Shiny dashboards

Data visualization

Stakeholder engagement

Database experience

Git/GitHub

Independent work

Communication

Reusable modules

Education

Bachelor's or Master's in Data Science/Statistics/Biostatistics/CS

Tools

SQL

R

Job description

Contact: Terra Parsons - [e-mail]
No 3rd party candidates

This is a hands-on development role for a strong R/Shiny developer who understands clinical trial data and can work directly with clinical study and Biometrics stakeholders to understand their needs and translate them into practical, user-friendly applications, dashboards, and visualizations.

The ideal candidate is a strong R/Shiny developer who understands clinical trial data and can work directly with stakeholders to understand their needs and translate them into practical, user-friendly applications and visualizations.

The primary focus of this role is hands-on development and delivery of Shiny applications and dashboards, rather than building broader technical infrastructure or platforms.

Primary Responsibilities

• Design, develop, and maintain interactive R Shiny applications and dashboards supporting clinical studies and Biometrics teams.
• Work directly with stakeholders to gather requirements and translate business and clinical needs into practical Shiny applications.
• Work with clinical trial data to create tools that improve data access, review, visualization, and decision-making.
• Partner closely with Biostatistics, Statistical Programming, Data Management, and other clinical and technical stakeholders.
• Build applications that allow users to effectively explore, visualize, and interact with clinical study data.
• Enhance and maintain existing Shiny applications as study and stakeholder requirements evolve.
• Develop reusable Shiny components and approaches where appropriate.
• Troubleshoot application, data, and visualization issues and implement practical solutions.
• Participate in application testing, validation, and quality review.
• Communicate effectively with both technical and non-technical stakeholders throughout the development process.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Biostatistics, Computer Science, or a related quantitative field.
• Strong hands-on R programming and R Shiny development experience.
• Demonstrated experience personally building Shiny applications, dashboards, and interactive data visualizations.
• Experience developing reusable Shiny modules or components.
• Experience working with clinical trial data within pharmaceutical, biotechnology, CRO, or a related clinical research environment.
• Experience working directly with stakeholders to understand requirements, incorporate feedback, and deliver functional applications.
• Strong understanding of data manipulation and visualization (static and dynamic) in R.
• Experience working with databases or other clinical data sources.
• Familiarity with Git/GitHub and collaborative development practices.
• Strong communication skills and ability to work effectively across technical and clinical functions.
• Ability to work independently and take ownership of Shiny development from requirements through delivery.
• Comfortable working in a fast-moving organization with evolving priorities.

Preferred Experience

• Experience developing Shiny applications specifically for clinical data review, study analytics, or Biometrics teams.
• Experience working alongside Biostatistics, Statistical Programming, and Clinical Data Management.
• Experience with SAS and/or Python is beneficial but not required as a primary skill set.

The successful candidate will be:

• A hands-on Shiny developer. Has meaningful experience personally building applications and dashboards rather than simply supporting or overseeing development.
• Clinical-data savvy. Understands clinical trial data and can apply that knowledge when developing applications and visualizations.
• Stakeholder-oriented. Can gather requirements, ask the right questions, incorporate feedback, and translate stakeholder needs into effective applications.
• Delivery-focused. Enjoys building and delivering useful apps and dashboards and is comfortable spending the majority of their time doing hands-on development.
• Practical. Focused on building effective, usable solutions without overengineering.
• Independent and collaborative. Can own development work while partnering closely with clinical and Biometrics stakeholders.