Senior Data Scientist

Medpace

London, United Kingdom

Job Summary

We are currently seeking an experienced data analyst to join our Informatics team who will lead advanced analyses of methodological data to inform study design decisions. The Informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development. The informaticist will create predictive data models to identify and analyze patterns, then program compelling visualizations of the data to support feasibility strategies. The team is seeking an experienced candidate for a senior-level position to contribute new skills to our team, support team growth, and foster fellow analyst development.

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 utilization strategies. If you are an individual with experience in informatics, data science, statistics or epidemiology, please review the following career opportunity.

Responsibilities

Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data;
Develop dashboards and web applications to enable Medpace teams’ access to, and interpretation of, clinical operations data;
Translate the results of feasibility research and analysis into compelling data visualizations which illustrate the overall feasibility strategy for proposals and bid defense meetings;
Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams;
Develop and map database architecture of methodological and clinical data systems;
Support departmental process improvement initiatives; and
Participate in training and development of more junior team members.

Qualifications

Master’s degree in informatics, computer science/engineering, health information, statistics, or related field required, PhD preferred;
Advanced computer programming skills (preferred language: R);
Analytical thinker with great attention to detail;
Ability to prioritize multiple projects and tasks within tight timelines;
Excellent written and verbal communication skills; and
Participate in training and development of more junior team members.

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