Feasibility Informatics Analyst

The Feasibility & Proposals department is looking for qualified analysts to join our Informatics Team in our London office. The informatics team utilises informatics principles and techniques to architect, mine, analyse, and visualise clinical trial data to inform study design choices for pharmaceutical development. Informatics Analysts create compelling visualisations and recruitment models to support proposal feasibility strategies and ad hoc analytical projects.

The Informatics Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports clinical operation, medical, and feasibility teams with advanced data query and analysis. The Informatics Team also works side-by-side business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilisation strategies. If you are an individual with a background or interest in data science, statistics or epidemiology, please review the following career opportunity.

• Evaluate data needs for assigned projects and make recommendations on strategic approach specific to the study design and opportunity specifics;
• Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams;
• Work alongside global feasibility leads to contribute to proposal strategy for site and country selection based on available data;
• Translate the results of feasibility research and analysis into compelling data visualisations which illustrate the overall feasibility strategy including enrolment modelling;
• Design and implement database architecture plans and perform custom queries for methodological and clinical data sources;
• Perform development and review of proposal text;
• Assist project teams with preparation for bid defence meetings; and
• Support departmental process improvement initiatives.

• Bachelor’s, or Master’s degree in informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field;
• Analytical thinker with great attention to detail;
• Ability to prioritise multiple projects and tasks within tight timelines;
• Excellent written and verbal communication skills;
• 1-2 years of clinical research experience is preferred; and
• Computer programming experience for data queries, database structure, and/or statistical analysis (preferred language: R)