The responsibilities include, but are not limited to:
Application Development and Maintenance
Apply machine learning and statistical methods to analyze complex healthcare datasets.
Collaborate with clinical researchers and faculty to design and implement data-driven research projects.
Develop and maintain data pipelines for processing medical imaging, EHR data, genomics, and patient monitoring data.
Contribute to grant proposals and scientific publications.
Support the development of predictive models for clinical applications.
Participate in collaborative research initiatives with clinical departments.
Document methodologies and create reproducible analysis workflows.
Present findings to research teams and at scientific conferences.
Collaboration and Communication
Collaborate with clinicians, educators, and administrators to frame problems, understand data needs, and interpret model outputs.
Translate insights into operational recommendations through dashboards, briefings, and stakeholder presentations.