IT & Software

Feasibility Informatics Analyst

Medpace

London · Greater London · United Kingdom

Overview

In this role you will apply informatics methods to shape proposal feasibility and study design for pharmaceutical development. You will work with the Informatics Team across London and Cincinnati to analyse clinical trial data, create visualisations, and support recruitment modelling for feasibility strategies. You will translate research findings into actionable insights and collaborate with cross-functional teams to optimise data storage, access, and analysis. This role offers the chance to impact proposal strategy and data-driven decision making in a global, collaborative environment.

Pay / Benefits
  • Flexible work environment
  • Competitive compensation and benefits package
  • Competitive PTO
  • Structured career paths with opportunities for professional growth
  • Company-sponsored employee appreciation events
  • Employee health and wellness initiatives
Responsibilities
  • Assess data needs for projects and propose strategic study design approaches
  • Review data sources to deliver high-quality informatics data and analyses
  • Collaborate with global feasibility leads on site and country selection based on data
  • Create data visualisations and enrolment modelling to illustrate feasibility strategy
  • Design and implement database architecture plans and run custom queries
  • Develop and review proposal texts and support bid defence preparation
  • Support process improvements within the department
Key requirements
  • Bachelor’s or Master’s degree in relevant fields
  • Analytical thinker with strong attention to detail
  • Ability to prioritise multiple projects within tight timelines
  • Excellent written and verbal communication skills
  • 1–2 years of clinical research experience preferred
  • Programming experience for data queries, database structure, and/or statistical analysis (preferred language: R)
  • analytical thinking
  • attention to detail
  • clear communication
  • R programming
  • data querying
  • database design

Reference: WJ-747_30137993

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