Shiny App Architect for Clinical Data Dashboards

Medpace; Greater London; On-site; GBP 42,000 - 70,000; Full time

Benefits offered by this job

Competitive compensation

Health benefits

Retirement plan

PTO

WFH after training

Job summary

Medpace is expanding its Clinical Informatics team in the United Kingdom to support data analytics, visualization, and accessibility. You will work with Clinical Operations to identify needs, evaluate study protocols, and validate data products that improve operational efficiency.

The role involves developing Shiny applications, dashboards, and data workflows, collaborating with software engineering and clinical teams. Training and growth opportunities are offered.

Qualifications

• Bachelor’s degree in informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field.
• Strong analytical mindset with attention to detail.
• Ability to prioritize multiple projects in a sprint.
• Excellent verbal communication skills.
• Proficiency in R or Python programming.
• Experience with clinical data.
• Experience building Shiny web apps and dashboards (PowerBI/Tableau/Spotfire) preferred.

Responsibilities

• Evaluate data needs for projects and recommend study-specific strategic approaches.
• Collaborate with operational and medical leads to develop data products (primarily Shiny apps).
• Interact with relational data for querying, wrangling, analysis, and reporting; support process improvements.
• Support continuous improvement initiatives within the department.

Skills

R programming

Python programming

Shiny apps

Data visualization

Analytical thinking

Attention to detail

Verbal communication

Clinical data

Education

Bachelor's in informatics/CS/engineering/health info

Tools

PowerBI

Tableau

Spotfire

Job description

Medpace is expanding its Clinical Informatics team in the United Kingdom to support data analytics, visualization, and accessibility. You will work with Clinical Operations to identify needs, evaluate study protocols, and validate data products that improve operational efficiency.

The role involves developing Shiny applications, dashboards, and data workflows, collaborating with software engineering and clinical teams. Training and growth opportunities are offered.