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).