Perform research projects focused on equity and disparity in clinical outcomes prediction algorithms.
Dive deep into real-world patient clinical or electronic health record data, employing the ideal statistical methods to address crucial research questions related to health disparities and equity.
Perform statistical/machine learning analysis as necessary for research questions, which may consist of – large scale/rapid hypothesis testing, classification, and prediction.
Collaborate with data engineers, data scientists, project managers, clinicians and domain experts to refine research questions and prepare the statistical analysis plan.
Share your discoveries with the global scientific community by publishing your research findings in high impact journals and presenting work at scientific meetings.
Serve as a technical and topical expert, fostering collaboration, consulting, and acting as a liaison to Association stakeholders and external peers.
Lead cohort meetings and workshops for data science awardees.
Attending relevant external conferences and facilitating consultative sessions with volunteer Task Forces and other Association experts.
Contribute your expertise to the development and execution of communication plans and strategies, including network engagement, written pieces, workshop planning, and publication strategies.
