Clinical Informatics R Programmer: Shiny Apps & Dashboards

Medpace; Denver (CO); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health, wellness & retirement benefits

PTO and paid time off

On-site with occasional WFH after培训

Career development & training programs

Company-sponsored social events

Job summary

Medpace is expanding a Clinical Informatics team in the United States to support data analytics, visualization, and accessible data products. You will work with Clinical Operations to identify needs, build and validate data products, and collaborate closely with software engineers to deliver both custom and enterprise solutions.

The role emphasizes R programming, dashboard development, and cross-functional collaboration, with opportunities to influence study design and improve operational

Qualifications

• Bachelor-level degree in a related field such as informatics, CS, engineering, health information or statistics.
• Strong analytical mindset with meticulous attention to detail.
• Ability to manage multiple projects in a sprint environment.
• Excellent verbal communication skills.
• Proficiency in R programming.
• Experience with clinical data and dashboards is a plus.

Responsibilities

• Evaluate data needs and propose strategic approaches aligned with study design.
• Collaborate with clinical operations to develop data products, primarily Shiny applications.
• Contribute to internal R package development for cross-departmental workflows.
• Interact with relational data for querying, wrangling, analyses and reporting.
• Develop algorithms to describe and predict trial outcomes; support process improvements.

Skills

R programming

Analytical thinking

Verbal communication

Multitasking

Web app development

Education

Bachelor's in informatics/CS/engineering/biomedical engineering/health information/statistics

Tools

Shiny

Streamlit

PowerBI

Tableau

Spotfire

Job description

Medpace is expanding a Clinical Informatics team in the United States to support data analytics, visualization, and accessible data products. You will work with Clinical Operations to identify needs, build and validate data products, and collaborate closely with software engineers to deliver both custom and enterprise solutions.

The role emphasizes R programming, dashboard development, and cross-functional collaboration, with opportunities to influence study design and improve operational