IT & Software

Clinical Informatics Analyst

Medpace

London · Greater London · United Kingdom

Overview

In this role you will work with Clinical Operations to identify data needs and build solutions spanning analytics, visualization, and accessibility. You will collaborate with Clinical Trial Managers to validate data products that boost operational efficiency and support both custom and enterprise-wide initiatives alongside a software engineering team. You’ll evaluate study designs, develop innovative data products, and apply algorithms to describe and predict clinical trial outcomes. This is a hands-on role at the intersection of science and software, shaping data-driven clinical operations.

Pay / Benefits
  • Flexible work environment
  • Competitive compensation and benefits package
  • Competitive PTO packages
  • Structured career paths with opportunities for professional growth
  • Company-sponsored employee appreciation events
  • Employee health and wellness initiatives
Responsibilities
  • Evaluate data needs for projects and propose strategic approaches aligned with study design
  • Collaborate with operational and medical leads to develop innovative data products
  • Interact with relational data for querying, wrangling, analysis, and reporting
  • Develop algorithms to describe, classify, and predict operational outcomes of clinical trials
  • Support departmental process improvement initiatives
Key requirements
  • Bachelor’s in informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field
  • Analytical thinker with strong attention to detail
  • Ability to prioritize multiple projects on a sprint schedule
  • Excellent verbal communication skills
  • Programming experience in R or Python
  • Clinical research experience is preferred
  • Experience building web applications (Shiny or Streamlit) is preferred
  • Experience building dashboards (PowerBI, Tableau, or Spotfire) is preferred
  • Analytical thinking
  • Attention to detail
  • Verbal communication
  • R or Python programming
  • Shiny or Streamlit for web apps
  • PowerBI, Tableau, or Spotfire for dashboards

Reference: WJ-747_30186209

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