The research group of Dr. Nathan Lo at UCSF uses computational modeling to inform and change public health policy in global infectious diseases. We mix fields of statistical modeling, simulation, epidemiology, and genomics to guide pressing policy issues. Past projects have included mathematical modeling of new World Health Organization guidelines for treatment of parasitic worm infections that affect 1.5 billion of the world’s poorest people, simulation of asymptomatic testing strategies for control of COVID-19 during the pandemic, outbreaks in vulnerable populations such as detained migrants, and work on guidelines for vaccine-preventable infectious diseases such as typhoid fever and measles. We have published in the top journals (Lancet and JAMA journals, PNAS, NEJM) and have been featured in media outlets (New York Times, The Guardian). Our track record includes many projects in infectious diseases that have translated into policy change and practice, including in the fields of neglected tropical disease and HIV. We work closely with policy organizations like the World Health Organization and the California Department of Public Health to ensure our research translates to improvements in human health. Our group works in a collaborative team environment, both within our research group and also as part of the UCSF EPPIcenter program, a dynamic team of basic science and computational scientists focused on understanding infectious diseases.

Post-Doctoral Scholar/Research Scientist position
We are recruiting for one full time position, either a post-doctoral scholar or research scientist, who is interested in working on computational public health research related to infectious diseases. The project would focus on developing computational models to improve infectious disease surveillance, control strategies, and public health decision making. There are many ongoing projects related to COVID-19, hepatitis A, and neglected tropical diseases. We will also support the pursuit of independent research topics of shared interest. The selected candidate will have a high degree of autonomy. The position requires the following:
• PhD in epidemiology, statistics, engineering, computational biology, computer science, or related field. Highly qualified applicants with
Bachelor's or Masters degree may apply.
• Strong programming skills in at least one of the following languages (R, MATLAB, Python)
• Strong quantitative skills, including statistical modeling, decision science, simulation, intermediate biostatistics, and basic mathematics
• Knowledge of epidemiology and population health measurement
• Ability to work independently and execute research projects with minimal supervision
• Excellent communication skills (e.g. data visualization, writing)

You will work in the research group of Dr. Nathan Lo (http://profiles.ucsf.edu/nathan.lo) in the Division of HIV, Infectious Diseases, and Global Medicine at UCSF. Our research group is part of the UCSF EPPIcenter program. Competitive salary including full benefits will be provided commensurate with experience and qualifications. The start date of the position is flexible, and applications are considered on a rolling basis. If you are interested, please share your CV, cover letter, and three references to Dr. Nathan Lo (Nathan.Lo@ucsf.edu).