This position is to a hire a **_Biostatistician_** researcher who can develop statistical tools to analyze infectious disease dynamics. This project will focus on the use of various data sets (human behavior, genomics, serological status, and epidemiological information) to predict the spatial and temporal dynamics of vector-borne (malaria, dengue) and vaccine preventable (SARS-CoV-2, measles, rubella) diseases. The position will require the development, evaluation, and investigation of statistical frameworks to understand disease transmission and ultimately inform public health policy. **Specific Duties & Responsibilities** + The specific duties will require developing infectious disease transmission models in R, ‘big data’ management, and model fitting. + The position will require writing scientific manuscripts, public health reports, and scientific presentations. **Minimum Qualifications** + Master's Degree in Biostatistics, Epidemiology, or related quantitative field. + One-year related experience. + Demonstrated ability on significant graduate project or additional doctoral education may substitute for experience to the extent permitted by the JHU equivalency formula. **Preferred Qualifications** + Experience working on spatial transmission models, experience working on the epidemiology of vaccine-preventable diseases. Classified Title: Biostatistician Role/Level/Range: ACRP/04/MD Starting Salary Range: $55,200 - $96,600 Annually (Commensurate with experience) Employee group: Full Time Schedule: Monday to Friday: 8:30 am – 5 pm Exempt Status: Exempt Location: School of Public Health Department name: ​​​​​​​Epidemiology Personnel area: School of Public Health Equal Opportunity Employer: Johns Hopkins University is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. The university promotes affirmative action for minorities, women, disabled persons, and veterans.