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The Post-doctoral Associate position in the Department of Biostatistics at Boston University School of Public Health is a two-year appointment, with the possibility of extension to three years. This role focuses on applying causal inference methods and agent-based modeling to investigate health care access for tuberculosis services. The successful candidate will implement structural equation modeling and agent-based modeling approaches to analyze factors influencing access to health care among tuberculosis patients in Peru. This position is designed for individuals who are eager to contribute to impactful research in public health, particularly in the context of global health and social determinants of health. The selected candidate will be expected to lead analyses and produce lead author publications based on their findings, all while receiving mentorship from experienced faculty members, including Dr. Helen Jenkins, Dr. Eleanor Murray, and Dr. Courtney Yuen. The ideal applicant will possess a PhD or equivalent doctoral degree in a quantitative field such as epidemiology, biostatistics, or relevant behavioral or social sciences. Candidates with demonstrated expertise in structural equation modeling or agent-based modeling from other fields will also be considered. Strong programming skills in R, SAS, or Python are essential, and familiarity with Mplus software is preferred but not mandatory. This position not only offers a chance to engage in significant research but also emphasizes the importance of diversity and inclusion within the academic environment.
