Biostatistician
The Syphilis and HIV Integrated Epidemiologic and Economic Local-level Dynamics (SHIELD) team is looking for a Biostatistician to help us develop and maintain our core simulation models.
The SHIELD model is closely linked to the Johns Hopkins Epidemiologic and Economic Model (JHEEM) of local HIV transmission in the US. JHEEM is a modeling platform that addresses high-level public health questions– such as “how much would increasing HIV testing reduce incidence over a decade?” – using a rigorous, statistical framework. JHEEM runs large numbers of simulations at the city- and state-level to project a range of possible outcomes after implementing HIV-related interventions, to help inform decision-making. The model is coded in R, and large-scale simulations are carried out on cloud computing servers. Our projections are freely available online at https://jheem.shinyapps.io/EndingHIV/
Using a similar approach, SHIELD is a suite of mathematical models covering 40 US cities with the highest rates of syphilis and HIV diagnoses. SHIELD will encompass syphilis transmission, progression, HIV co-infection, STI care engagement dynamics, and demographic elements such as age, racial and ethnic disparities, risk profiles, and selected social determinants of health. Using this model, we aim to evaluate the potential impact of scaling up existing and emerging syphilis interventions, such as increased testing, expanded partner tracing, faster treatment initiation, and doxy-PEP. The objective is to determine the conditions under which these interventions would be cost-effective and impactful at a local level. Finally, we aim to develop a user-friendly online toolkit to empower decision-makers at local, state, and national levels to obtain customized projections of the impact from diagnostic or biomedical prevention interventions.
We are seeking a Biostatistician who will join a team of researchers and students working with both the JHEEM and SHIELD models. We are looking for someone who is motivated, excited to learn, and interested in applying epidemiological knowledge and computational skills to improve public health and help end the HIV epidemic.
Specific Duties & Responsibilities:
- Statistical Analysis:
- Implement differential equation solvers and perform Bayesian statistical analyses to interpret simulation results.
- Apply advanced statistical techniques to analyze data and derive meaningful insights.
- Data Curation:
- Curate and manage epidemiological data from sources such as the CDC and local public health agencies.
- Ensure data integrity, accuracy, and relevance for ongoing research and analysis.
- Custom Code Development:
- Write and optimize custom code in R and/or other programming languages to facilitate complex simulations.
- Develop scripts for data processing and simulation tasks.
- Model Maintenance:
- Maintain and update model code to ensure it remains relevant and effective in addressing key public health questions.
- Implement improvements and refinements to enhance model performance and accuracy.
- Literature Review:
- Conduct comprehensive literature reviews on syphilis and HIV epidemiology to inform model development and research strategies.
- Stay updated with current trends and findings in epidemiology to ensure the models reflect the latest scientific knowledge.
Minimum Qualifications
- Master's Degree in Biostatistics, Epidemiology, or related quantitative field.
- One year related experience.
- Proven experience in writing and maintaining code in R and other programming languages.
- 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 in public health or infectious disease epidemiology.
- Experience in HIV and sexually transmitted diseases epidemiology.
- Familiarity with additional programming languages or statistical software.
- Familiarity with concepts in modeling and simulation analysis.
- Experience in using differential equation solvers and Bayesian statistical methods.
- Solid planning and organizational skills, ability to prioritize work independently, and work for periods without daily direction from investigators.
Classified Title: Biostatistician
Job Posting Title (Working Title): Biostatistician
Role/Level/Range: ACRP/04/MD
Starting Salary Range: $55,800 - $97,600 Annually ($97,600 targeted; Commensurate with experience)
Employee group: Full Time
Schedule: Monday to Friday: 9 am – 5 pm
Exempt Status: Exempt
Location: School of Public Health - East Baltimore Campus
Department name: 10001101-Epidemiology
Personnel area: School of Public Health