The Department of Radiology at Columbia University has research teams applying advanced imaging AI and clinical data science, as well as quantitative disease modeling to address pressing challenges in health outcomes and policy. Dr. Kang’s research laboratory is focused in personalized testing pathways, translation of diagnostic innovations, and cancer screening. We develop predictive models, simulation frameworks,
and AI-driven analytic tools to inform screening, prevention, and treatment strategies. Dr. Kang is a physician scientist and leader in cancer simulation modeling working with multiple collaborative teams across the university. Duties and responsibilities: Position Benefits Direct involvement in high-impact healthcare and precision medicine studies, particularly in cancer early detection, screening, and treatment
modeling. Publication opportunities. Mentorship and career development support from Columbia faculty. Opportunity to build a path toward long-term academic faculty roles. Position Description We are seeking a highly quantitative, research-oriented postdoctoral scientist with strong AI/data science and statistical modeling expertise. The ideal candidate will have advanced coding skills and a deep interest in
translating quantitative methods to impactful problems in healthcare and population health. The position offers: Independent research opportunities in AI-driven prediction modeling, statistical methods, and clinical/public health applications. Collaborative leadership, including mentoring junior analysts and working closely with a diverse team of clinicians, data scientists, and engineers. Clear academic trajectory,
with potential for transition to a faculty position through NIH/NSF career development grants.
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