Infectious-Disease Biostatistician & Modeler

Johns Hopkins University

Baltimore (MD)

On-site

USD 55,800 - 97,600

Full time

14 days+

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Job summary

Johns Hopkins University is hiring a Biostatistician/Modeler to develop statistical tools for infectious disease dynamics, focusing on data analysis from health records and various datasets. The ideal candidate will possess a Master's degree in Biostatistics or a related quantitative field and should be proficient in SAS and R. Responsibilities include analyzing longitudinal data, developing infectious disease transmission models, and contributing to scientific publications and presentations. This is a full-time position with a salary range of $55,800 - $97,600 annually.

Qualifications

  • Master's degree in Biostatistics or related quantitative field.
  • Experience in advanced biostatistical and mathematical methods.

Responsibilities

  • Analyze large-scale, longitudinal data from health records and databases.
  • Develop statistical tools to inform public health policies.
  • Collaborate with data managers to resolve potential issues.

Skills

Biostatistical Analysis
Data Management and Analysis
Data Validation and Quality Assurance
Data Visualization
Regulatory Compliance
Reproducible Research Practices
Scientific Communication
Statistical Methods
Statistical Programming

Education

Master's Degree in Biostatistics, Epidemiology, or related quantitative field

Tools

SAS
R

Job description

Johns Hopkins University is hiring a Biostatistician/Modeler to develop statistical tools for infectious disease dynamics, focusing on data analysis from health records and various datasets. The ideal candidate will possess a Master's degree in Biostatistics or a related quantitative field and should be proficient in SAS and R. Responsibilities include analyzing longitudinal data, developing infectious disease transmission models, and contributing to scientific publications and presentations. This is a full-time position with a salary range of $55,800 - $97,600 annually.
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