Full-time Research Data Scientist position available for graduating seniors- Modeling transmission of infectious diseases and public health control strategies
The research group of Dr. Nathan Lo at Stanford University studies the transmission of infectious diseases and impact of public health strategies with an ultimate goal of informing public health policy. We mix fields of mathematical modeling, simulation, epidemiology, and policy analysis to guide pressing policy issues. Our interest spans across multiple infectious diseases including vaccine-preventable infections, COVID-19, and neglected tropical diseases. Past projects have included mathematical modeling of World Health Organization guidelines for treatment of parasitic worm infections that affect over a billion people in low- and middle-income countries, simulation of asymptomatic testing strategies and optimal vaccine guidelines for control of COVID-19 during the pandemic, studying outbreaks in vulnerable populations such as detained migrants. 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 COVID-19. We work closely with policy organizations like the World Health Organization and the California Department of Public Health and international partner to ensure our research translates into improvements in human health. Our research group includes post-bac research scientists who have led first author publications in high-impact journals with policy relevance.
Research Data Scientist position
We are recruiting for a full-time Research Data 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, pertussis, and neglected tropical diseases. We will also support the pursuit of independent research topics of shared interest. The position requires the following:
- Bachelor’s in data science, engineering, statistics, computer science, or other quantitative field. Additional training in public health and/or infectious diseases preferred;
- Strong programming skills in at least one of these languages (R, Python, MATLAB);
- Strong quantitative skills, ideally with experience in modeling, intermediate biostatistics, and basic mathematics;
- Ideally prior experience conducting research in infectious diseases, public health, and/or epidemiology;
- Knowledge of epidemiology and population health measurement, and interest in infectious diseases and public health; and
- Excellent communication skills (e.g., data visualization, writing).
You will work in the research group of Nathan Lo (Profile: http://profiles.stanford.edu/nathan-lo; Lab website: https://med.stanford.edu/lo-lab.html) in the Division of Infectious Diseases and Geographic Medicine at Stanford University. If you are interested, please share your resume/CV, cover letter, and names of two references to Nathan Lo (Nathan.Lo@stanford.edu). Salary anticipated to be $75,000 – $85,000.