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.
Requirements & Skills:
Master’s degree in informatics, computer science/engineering, health information, statistics, or related field required, PhD preferred
1-2 years of direct experience applying machine learning to pharmaceutical or clinical data (or translatable artificial intelligence [ai] techniques);
