Shiny App Engineer - Clinical Data Visualization

Medpace; Cincinnati (OH); On-site; USD 85,000 - 110,000; Full time

Job summary

Medpace is expanding a new Clinical Informatics team and seeks qualified individuals to support data analytics, visualization, and accessibility initiatives. You will work with Clinical Operation teams to identify needs and develop data products that increase operational efficiency, collaborating with software engineering to deliver both custom and enterprise solutions.

Responsibilities include evaluating data needs, developing innovative data products (notably Shiny applications), and

Qualifications

• Bachelor’s degree in a relevant field.
• Analytical thinker with great attention to detail.
• Ability to prioritize multiple projects on a sprint schedule.
• Excellent verbal communication skills.
• Programming experience in R or Python.
• Work experience with clinical data.
• Experience building Shiny web applications.
• Experience building dashboards (PowerBI/Tableau/Spotfire).

Responsibilities

• Evaluate data needs for assigned projects and recommend strategic approaches.
• Collaborate with operational and medical leads to create data products (Shiny apps).
• Interact with relational data for querying, wrangling, analysis, and reporting.
• Support departmental process improvement initiatives.

Skills

Analytical thinking

Verbal communication

Sprint planning

R programming

Python programming

Clinical data experience

Education

Bachelor’s in informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field

Tools

Shiny

PowerBI

Tableau

Spotfire

Job description

Medpace is expanding a new Clinical Informatics team and seeks qualified individuals to support data analytics, visualization, and accessibility initiatives. You will work with Clinical Operation teams to identify needs and develop data products that increase operational efficiency, collaborating with software engineering to deliver both custom and enterprise solutions.

Responsibilities include evaluating data needs, developing innovative data products (notably Shiny applications), and