The fellow will work within a multidisciplinary team analyzing detailed data from longitudinal cohorts in Uganda to characterize the development and maintenance of immunity to P. falciparum. This project involves collaborators at the Infectious Disease Research Center (IDRC) Uganda and Stanford University. Fellows will work directly with regional and in-country partners and have a role to develop capacity and support a wide array of publications using these data.
Competitive salary including full benefits will be provided commensurate with experience and qualifications, and the post offers ample opportunities for career development and independent work streams.
Essential Skills
- PhD in epidemiology, statistics, computational biology, computer science, ecology, public health, or related quantitative field.
- Strong quantitative skills, including epidemiological and statistical modeling
- Strong programming skills in at least one relevant languages, e.g., R, MATLAB, Python.
- Demonstrated ability to produce independent, creative work
- Excellent communication skills, e.g., data visualization, writing.
Helpful Skills
- Experience analyzing longitudinal epidemiological data
- Experience in epidemiological analyses/modeling of infectious diseases including P. falciparum
Send a CV including publications, brief statement of research/career interests, and contact information for up to 3 references to [email protected] with the subject line Malaria Immunity
Organization Details
