The Research Group of Dr. Nathan Lo at Stanford University seeks a skilled postdoctoral scholar 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., measles, SARS-CoV-2, etc). Our research group is interested in the transmission of infectious diseases and the 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 a postdoctoral scholar with interests in neglected tropical diseases (particularly schistosomiasis). Our NIH-funded project 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. While we are primarily recruiting for a position to lead studies in schistosomiasis, we are open to outstanding candidates interested in working in our research program on vaccine-preventable infections, which involves developing and evaluating predictive modeling tools to support outbreak response, optimal vaccine strategies, and understanding key 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.

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/).

Lab website: http://med.stanford.edu/lo-lab.html
Academic website: http://profiles.stanford.edu/nathan-lo