Two postdoctoral positions at Stanford: Research on (1) modeling infectious disease control strategies and (2) genomic epidemiology of parasites
We are recruiting for two full-time positions, either postdoctoral scholar or research scientist, who are interested in working on: (1) modeling infectious disease transmission and public health control strategies across multiple pathogens (e.g., SARS-CoV-2, Schistosoma spp.); or (2) bioinformatic analysis of whole genome sequencing data to study transmission and genomic epidemiology for schistosomiasis.
Position #1: Modeling infectious disease control strategies
The successful candidate will lead research on modeling infectious disease transmission and impact of public health strategies to reduce outbreaks, in collaboration with the California Department of Public Health. This NIH funded study will broadly investigate development and evaluation of modeling tools to support outbreak response and prevention and control of infectious diseases. We will investigate multiple pathogens including SARS-CoV-2, Bordetella pertussis, and influenza, with flexibility to investigate additional infectious diseases. 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, and high level of independence with publication record to support these characteristics. While a PhD is preferred (Epidemiology, Engineering, or related field), highly qualified applications with bachelor’s or master’s degree are encouraged to apply.
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.
Position #2: Genomic epidemiology and schistosomiasis
The successful candidate will lead research on genomic analysis of Schistosoma spp. (the causative parasite of schistosomiasis) to investigate the transmission of this neglected tropical disease. In this study, we will partner with international colleagues to analyze whole genome sequencing data of Schistosoma to study key aspects of transmission, which will require development of bioinformatic pipelines and analysis of genomic data. The ideal candidate will have a superb quantitative background, strong coding skills (e.g., Python, R), formal training in genomic epidemiology, expertise in analysis of WGS and genomic data for pathogens (ideally parasites), expertise in developing bioinformatic pipelines for genomic analysis, basic background in biology and population genetics, and high level of independence with publication record to support these characteristics. While a PhD is preferred (Bioinformatics, Epidemiology, Microbiology, or related field), highly qualified applications with bachelor’s or master’s degree are encouraged to apply.
The Lo Lab (http://profiles.stanford.edu/nathan-lo) in the Division of Infectious Diseases at Stanford University (recently moved from UCSF) studies the transmission of infectious diseases and effectiveness of public health strategies with an ultimate goal of informing public health decisions. We work closely with policy organizations like the World Health Organization and the California Department of Public Health, and alongside international colleagues in a multi-disciplinary team. The postdoctoral scholar will join a vibrant, interdisciplinary research team.
Application and position:
Please send a CV, brief statement of research/career interests, and contact information for 3 references to Nathan.firstname.lastname@example.org. Salary is anticipated to be $72,000 - $80,000, including full benefits. The start date of the position is flexible, and applications are considered on a rolling basis. The position will be in-person at Stanford University.
- Stanford University
- Closing date
- November 28th, 2023
- Posted on
- July 28th, 2023 22:15
- Last updated
- August 15th, 2023 17:51