Biostatistician - Data Analysis Center

2 months ago


Baltimore, Maryland, United States Johns Hopkins University Full time
Job Summary

We are seeking a highly skilled Biostatistician to join our team at the Johns Hopkins Bloomberg School of Public Health. The successful candidate will work as an integral part of a data analysis center study team, collaborating with epidemiologists, statisticians, and investigators to manage and analyze complex multicenter longitudinal data.

Key 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.
Requirements
  • Education
    • Master's Degree in Biostatistics, Epidemiology, or related quantitative field.
  • Experience
    • One year related experience.
  • 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.
What We Offer

The Johns Hopkins University offers a total rewards package that supports our employees' health, life, career, and retirement. Our benefits include competitive salaries, comprehensive health insurance, retirement plans, and paid time off.



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