Colin J. Carlson

The Carlson Lab at Yale School of Public Health has an open 2-year postdoctoral associate position based in person in the United States. The project sits at the intersection of climate change , pandemic risk , policy choices , disease ecology , and infectious disease epidemiology , with a strong emphasis on statistical modeling , quantitative modeling , and geospatial data . The lab is looking for a candidate with a PhD in disease ecology or infectious disease epidemiology . Strong skills in statistics and modeling are strongly preferred, and experience with epidemic modeling and global climate data would be valuable. The work includes developing statistical models linking ecological drivers to spillover risk, building end-to-end pandemic risk models over the 21st century, modeling climate drivers of zoonotic and vector-borne disease burdens, and creating epidemiological models for attribution of extreme epidemics to climate change. Funding comes from a mix of federal and philanthropy sources . The lab notes that philanthropic support may come with specific deliverables, but the position also offers substantial collaboration, professional development, and support for an independent research program within the Public Health Modeling Unit and broader Yale community. Applicants should contact the lab directly by email with a brief fit statement, a summary of research interests, and 1-2 favorite papers they have written. The lab also welcomes candidates with independent funding and may support fellowship applications. The post additionally mentions possible fit areas such as advanced species distribution modeling, genomics-based prediction of viral reservoirs and vectors, protein language models for microbial pathogenesis, and natural language processing for literature synthesis and data extraction. This is a strong opportunity for researchers in public health , biology , statistics , environmental science , and related computational fields who want to work on climate-sensitive infectious disease research at Yale.

The Carlson Lab at Yale School of Public Health is advertising a two-year postdoctoral associate position in climate change, disease ecology, infectious disease epidemiology, and epidemiological modeling . The role is based in person at Yale and is aimed at a researcher who can make focused contributions to the lab’s work on spillover risk, climate-driven disease burdens, and end-to-end attribution of extreme epidemics to climate change. Preferred background includes a PhD in disease ecology or infectious disease epidemiology , with strong skills in statistics, quantitative modeling, and geospatial data . Experience with epidemic modeling is optional, and experience working with global climate data is also relevant. The lab highlights three main research directions: statistical models linking ecological drivers to spillover risk; statistical models linking climate drivers to understudied zoonotic and vector-borne disease burdens, especially parasitic diseases; and epidemiological models for attributing specific epidemics to climate change. Funding is described as a mix of federal and philanthropy sources . The lab notes that the project may include specific deliverables tied to philanthropic support, but also emphasizes substantial support for the postdoc’s own independent research program. The lab is highly collaborative and interdisciplinary, with connections to the Public Health Modeling Unit and broader Yale community. Applicants should contact the lab by email with a brief fit statement, a short summary of research interests, and 1–2 favorite papers they have written, including why those papers matter to them. The post also notes that the lab is open to candidates with independent funding and may support fellowship applications. For PhD students, the lab is not likely taking new students for the 2026–27 cycle unless they have independent funding. Relevant study areas include public health, biology, medical science, environmental science, statistics, and computer science , especially where they intersect with climate-sensitive infectious disease research, modeling, and data science.