The Research Group of Dr. Nathan Lo at Stanford University seeks skilled postdoctoral scholars to join our research team. Specializing in infectious disease epidemiology and public health modeling, we study neglected tropical diseases (e.g., schistosomiasis, strongyloidiasis) and vaccine-preventable infections (e.g., SARS-CoV-2, pertussis, etc). Our research group is interested in the transmission of infectious diseases and impact of surveillance and public health interventions with an overarching goal of informing public health policy. The postdoctoral scholar will have the opportunity to lead high impact research in infectious disease epidemiology and modeling of public health interventions.

We are recruiting for postdoctoral scholars with interests in neglected tropical diseases (particularly schistosomiasis) and/or vaccine-preventable infections. Our NIH-funded research on schistosomiasis leverages diverse epidemiologic modeling approaches to evaluate precision surveillance and control strategies, with an emphasis on hotspot detection. This modeling work is well supported by large-scale primary datasets, including survey-based, parasitological, serologic, and genomic data. Relevant methodologies include mechanistic transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive modeling tools to support outbreak response, optimal vaccine strategies, and understanding key epidemiologic questions. This NIH-funded project is conducted in collaboration with the California Department of Public Health and focuses on pathogens such as SARS-CoV-2 and Bordetella pertussis, with opportunities to explore related infectious diseases and epidemiologic questions.

The ideal candidate will have a superb quantitative background, strong coding skills (e.g., Python, R), expertise in infectious disease modeling across multiple pathogens, expertise with large datasets and statistical analysis, be highly motivated, and have a high level of independence with the publication record to support these characteristics. The postdoctoral scholar may work alongside students in the research group.

The lab will support and encourage the candidate’s independent research interests that align with our mission. Beyond this position, we welcome applicants proposing interesting scientific directions in infectious disease modeling broadly and will fund a highly independent postdoctoral scholar with a clear vision of scientific investigation that falls within the lab’s mission.

Required Qualifications:
• The ideal candidate will have a PhD in Epidemiology, Engineering, Data Science, Applied Mathematics, Computer Science, Statistics, Public Health or related computational field.
• Superb quantitative background, strong coding skills (e.g., Python, R).
• Expertise in infectious disease modeling.
• Strong record of peer-reviewed publications.
• High level of independence in scientific work.
• The successful candidate will be mission drive, hardworking, and motivated by the potential for scientific and policy impact, especially to improve health equity.
• Enthusiastic about infectious diseases and global public health.

Required Application Materials:
• Cover letter that describes your research interests, scientific skillset and its alignment with the proposed work, and future career plans
• Curriculum vitae
• Contact information for three references

Please submit the application materials by email to Nathan.Lo@stanford.edu. Applications will be evaluated on a rolling basis. The expected pay range: $75,000 - $80,000, with benefits (https://postdocbenefits.stanford.edu/).