The Lab of Dr. Liliana Salvador (the Computational Zoonoses lab) in the School of Animal and Comparative Biomedical Sciences at the University of Arizona seeks a Postdoctoral Research Associate to develop and implement methodologies to improve our understanding of infectious diseases in multi-host systems. The Computational Zoonoses lab is transdisciplinary and focuses on the quantitative epidemiology and evolutionary dynamics of zoonotic diseases under the One Health approach.

The successful candidate will:

1) study the underlying evolutionary processes and cross-species transmission patterns of zoonotic diseases; 2) determine the impacts of behavior and movement patterns on the spatio-temporal disease dynamics; and 3) develop computational tools to integrate genomic, epidemiological, and ecological data to answer specific evolutionary and ecological questions.

We invite applications from candidates with diverse backgrounds that would like to work in diverse projects in the lab ranging from data collection, data analysis, modelling, and software development. There will be the possibility for undergraduate and graduate student mentoring and for teaching opportunities if the successful candidate is interested in strengthening those skills. This is a year-to-year appointment, contingent upon funding and performance.

Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here .

• Disease modeling
• Movement modeling
• Literature review
• Preparation of reports, manuscripts, and presentations to communicate results and conclusions
• Regular communications in person and in writing
• Additional duties may be assigned

Knowledge, Skills, & Abilities

• Strong quantitative background, with demonstrated ability to program in R, python, bash, awk.
• Demonstrated ability to lead research, as well as strong communication and writing skills.
• Eagerness to publish and contribute to grant writing as part of their training.

• PhD degree in a quantitative aspect of animal movement, spatial ecology, statistics, dynamic modelling, or bioinformatics granted within the past 5 years upon hire.

• Cross-trained PhDs between technical and life science disciplines with experience in spatial ecology, networks, molecular epidemiology/evolutionary dynamics, and/or bacterial zoonotic diseases.