Infectious Diseases research at UCSF
We are seeking to hire highly motivated and independent post-doctoral scholars, research scientists to join the EPPIcenter (Experimental & Population-based Pathogen Investigation Center) at the University of California, San Francisco, with Drs. Bryan Greenhouse, Isabel Rodríguez-Barraquer, and Nathan Lo. The goal of our research center is to understand complex infectious disease dynamics by integrating state-of-the-art data collection, molecular technologies, and computational analysis. Our interdisciplinary approach provides novel insight into the targeting of interventions to reduce and ultimately eliminate infectious disease burden.
Our portfolio includes many projects in infectious diseases that have translated into policy change and practice, including in the fields of dengue, malaria, neglected tropical diseases, and COVID-19. We work closely with policy organizations like the World Health Organization, California Department of Public Health, and Ministries of Health to ensure our research translates to improvements in human health. Our group provides a diverse and vibrant collaborative team environment with an emphasis on mentorship and career development.
Projects involve development of mathematical and statistical models to analyze complex datasets to answer questions in infectious disease epidemiology, natural history, control strategies and public health decision making. Some projects also involve generating laboratory data (genomics, immunology), so postdoctoral candidates with relevant laboratory backgrounds are also encouraged to apply.
Example projects/research areas include:
- Studying spatial and temporal trends in malaria transmission in various settings using genomics.
- Developing analytical pipelines for serosurveillance using novel multiplexed serological assays (with a focus on malaria and arboviruses)
- Characterizing the development of strain specific immunity to malaria in the context of detailed longitudinal studies using genomics and high-throughput serological assays.
- Evaluating public health strategies for control of COVID-19 including routine asymptomatic testing in high-risk populations and vaccination.
- Characterizing dynamics of vaccine-preventable infectious diseases in vulnerable populations.
Candidates interested in working on computational infectious disease research with a strong quantitative background are highly encouraged to apply.
The position requires
- PhD in epidemiology, statistics, math, physics, engineering, computational biology, computer science, ecology, public health, or related quantitative field. Candidates with relevant laboratory backgrounds are also encouraged to apply. Exceptional predoctoral candidates with proven quantitative skills will also be considered.
- Strong programming skills in at least one of the following languages, e.g., R, MATLAB, Python.
- Strong quantitative skills, including statistical modeling, dynamic modeling, decision science, simulation, intermediate biostatistics, and basic mathematics.
- Ability to work independently and execute research projects with minimal supervision.
- Excellent communication skills, e.g., data visualization, writing.
- Prior background in epidemiology, ecology, population health measurement, and/or infectious diseases
Explore our positions, our people, research, and publications. https://eppicenter.ucsf.edu
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