The rapid rise of COVID-19 has challenged healthcare globally. Due to the importance and emergent need for better understanding of the condition and the development of patient specific clinical risk scores and early warning tools, we have developed a platform to support testing analytic and machine learning hypotheses on clinical data without data sharing as a platform to rapidly discover and implement approaches for care. This Challenges aims to identify risk factors that lead to a positive test utilizing electronic health recorded data mapped to the OMOP Common Data Model.