The EPPIcenter aims to advance the understanding of infectious diseases to reduce global morbidity and mortality. We believe that the greatest success in the fight against infectious diseases will come through a highly interdisciplinary, systems epidemiology approach, connecting traditionally siloed theoretical work, technology development, generation and collection of empiric data, and analysis using statistical and mathematical modeling.
This role would involve computational modeling of infectious diseases to inform public health policy. The applicant will apply methods from data science, engineering, and epidemiologic modeling to topics in COVID-19, tropical diseases, and vaccine-preventable infections. Skills needed for a successful applicant:
• Adept in one of the following languages (R, MATLAB, Python)
• Quantitative skills, including mathematical modeling, decision science, simulation, and biostatistics
• Knowledge of epidemiology and population health measurement.
• Ability to work independently and collaboratively on fast moving projects
• Excellent communication skills (e.g. data visualization, writing)
Required Qualifications:
Bachelor's degree in related area and / or equivalent experience / training.
Minimum 3+ years of related experience
Adept in one of the following languages (R, MATLAB, Python)- 3+ years
Ability to work independently and collaboratively on fast moving projects
Knowledge of epidemiology and population health measurement.
Research skills at a level to evaluate alternate solutions and develop recommendations.
Skills in project management.
Skills to communicate complex information in a clear and concise manner both verbally and in writing.
Thorough skills in analysis and consultation.
Thorough skills associated with statistical analysis and systems programming.
Thorough knowledge of research function.

A successful applicant is an experienced research professional with a full understanding of in-depth statistical analyses and / or research software programming techniques who demonstrates good judgment in selecting methods and techniques for obtaining solutions.

The Division of HIV, Infectious Diseases and Global Medicine at the University of California San Francisco (UCSF) is an internationally recognized global leader in clinical care, research, and education.