The Division of HIV, Infectious Diseases & Global Medicine is now recruiting for an Assistant Professional Researcher. Based on current and prospective projects, the candidate will work on development and implementation of statistical analysis methods pertinent to malaria serology, transmission, population genetics, and disease modeling, as well as other projects that are undertaken in support of our research agenda. The work might involve estimation, statistical inference, machine learning, and optimization as well as developing data analysis software. As a member of our lab, it is expected that the candidate will work with content experts, while advising a cohort of computational infectious disease researchers and trainees developing a systems biology approach to addressing infectious disease in low and middle income countries.
This position will require independent research, and provide access to expertise for our trainees. While the employee is expected to work independently on infectious disease epidemiology issues, they also serve as a consulting expert for our center personnel and collaborators. The position requires in-depth knowledge of infectious disease concepts, as well as granular knowledge of the pathogens and environments with which our center is engaged. For example, the center is conducting in several related studies: • Developing computational tools to process complex malaria genomic data from field samples. • Using malaria parasite genomic data to evaluate transmission of this disease. • Evaluating strain-specific and strain-transcendent antimalarial immunity, including kinetics of the antimalarial antibody response.
Responsibilities include developing & testing statistical/mathematical models of Infectious Disease for independent research and center personnel; consulting with content experts in defining and choosing parameters to be measure in extensive, multi year epidemiological studies; writing submitting, reviewing academic papers for publication & contributing to grant writing among center personnel.
Required qualifications: • PhD. • Strong programming skills are required in the following languages: R, C/C++, Python. • Strong quantitative skills, including statistical analysis, dynamic modeling, and decision science. • Ability to work independently and execute research projects with minimal supervision. • Excellent communication skills, e.g., data visualization, writing, and presenting.
Preferred qualifications: • Completion of post-doctoral fellowship.
Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. Salary will be commensurate with the applicants experience and training.
UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and high-quality patient care. It is the only UC campus in the 10-campus system dedicated exclusively to the health sciences.