Data Scientist - Clinical Operations
CurrentI analyze clinical data, develop predictive models, and generate data-driven insights to improve the cost and efficiency of clinical trials for bringing new medicines to patients. My efforts serve to automate and optimize the process of planning and executing trials, resulting in improved success rates, reduced cycle times, and substantial cost savings.• Trained, fine-tuned, and deployed Machine Learning models to accurately predict and recommend the best-performing clinical sites and principal investigators, which saved $2 Million per year and decreased study startup timelines by 36%.• Developed insightful reports and interactive Tableau dashboards to monitor progress of important KPIs and compare against industry benchmarks and internal targets.• Delivered customized analytics of clinical trial data as decision support for study teams to improve critical business processes, such as study feasibility, country landscaping, and site selection.• Performed extensive data landscaping and analytics to identify opportunities for improving diversity of patient enrollment, resulting in more generalizable outcomes and better treatment for minority populations.• Conducted in-depth analyses of patient-centricity data and productivity metrics to quantify the impact and outcome of patient-centric interventions designed to reduce burden on clinical trial participants.
