DescriptionThe Department of Radiology Clinical Research Division invites applications for an
Associate Research Scientist to join the Center for Advanced Diagnostic Research (CADRe) of Dr. Stella Kang. The successful candidate will lead the development and implementation of advanced computational models of disease, with a focus on oral lesions and cancers.
This position involves the design, execution, and analysis of quantitative disease simulation models, including state-transition (Markov) models, discrete event simulations, differential equations, and agent-based modeling approaches. The candidate will integrate epidemiologic and clinical data from national datasets and the scientific literature into robust computational frameworks.
Specific duties include:
- Design, develop, and validate computational disease models using state-transition, discrete event, differential equation, and agent-based modeling methodologies.
- Implement simulation models in Python, R, C, C++, or other scientific programming environments.
- Integrate model parameters using national datasets for incidence, mortality, and related epidemiologic outcomes.
- Conduct structured literature reviews to inform model inputs, assumptions, and validation.
- Apply principles of diagnostic test accuracy, including ROC analysis.
- Perform statistical analyses, including multivariable regression and time-to-event methods, as needed to support modeling.
- Develop and maintain databases of model inputs, outputs, and analytical results.
- Prepare manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences.
- Present regular progress updates to the Principal Investigator and collaborate with a multidisciplinary research team.
- Mentor junior researchers, including Postdoctoral Fellows and research assistants, as appropriate.
QualificationsMinimum Qualifications:- Ph.D. in decision sciences, industrial engineering, epidemiology, biostatistics, mathematics, engineering, computational sciences, or a related quantitative field.
- Demonstrated expertise in simulation modeling methodologies, including Markov/state-transition, discrete event, differential equation, and/or agent-based modeling.
- Strong foundation in probability theory and statistical methods.
- Proficiency in scientific programming (Python, R, C, C++, or equivalent).
- Experience conducting systematic literature searches using PubMed/MEDLINE, Embase, or similar databases.
- Excellent written and oral communication skills in a scientific context.
- Strong organizational skills for managing complex datasets and multi-component modeling projects
Preferred Qualifications:- Experience in decision analytic modeling or economic evaluation.
- Knowledge of epidemiologic methods and health outcomes research.
- Prior involvement in modeling cancer or oral lesion progression.
- Experience mentoring trainees and collaborating within multidisciplinary research teams.
