Job Description

Specific Duties & Responsibilities




Develop and Maintain Web Interface

Design and implement a user-friendly web interface to present new simulation results and support interactive data exploration.
Ensure the interface is intuitive and responsive, providing a seamless experience for users.


Execute Simulation Models

Run simulation models on high-performance computing (HPC) services, utilizing cloud-based platforms or local clusters as required.
Optimize model performance and manage computational resources effectively.


Data Management and Preparation

Write queries to automatically extract, transform, and load data from diverse sources, including the CDC and local public health agencies.
Create and maintain scripts for data manipulation, cleaning, and filtering.
Prepare data outputs for visualization and integration into the web display, ensuring accuracy and consistency in the data presented.


Supporting Tasks

Complete and maintain professional documentation for projects and deliverables.
Assist in writing grant proposals, particularly the approach section, utilizing specialized knowledge with discretion and judgment.
Co-author scientific reports, abstracts, and publications, contributing original thoughts, hypotheses, and analysis.
Use professional judgment in handling information and be sensitive to project team, individual, and organizational concerns.
Perform miscellaneous job-related duties as assigned.


Minimum Qualifications
Bachelor's Degree.
Three years related experience.
Additional education may substitute for required experience and additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula.


Preferred Qualifications
Master's or PhD Degree in Mathematics, Statistics, Biostatistics, Industrial Engineering, Computer Science, Information Systems, or related field.
Proficiency in R and experience with Shiny for building interactive web applications.
Familiarity with Shiny Server and ShinyProxy for deploying Shiny apps in production environments.
Experience with R Markdown and flexdashboard for creating interactive reports and dashboards.
Knowledge of HTML, CSS, JavaScript, and frameworks like Bootstrap to enhance the frontend of Shiny applications.
Ability to integrate Shiny applications with backend databases like PostgreSQL or MySQL.
Experience with deploying Shiny applications on cloud platforms (AWS, GCP, Azure) or on-premise servers.
Familiarity with Docker for containerizing Shiny apps and Kubernetes for orchestration.
Experience with parallel computing or HPC environments: To manage computationally intensive simulations if integrated with Shiny.
Coursework or job experience in epidemiology and/or statistics.
Solid planning and organizational skills, ability to prioritize work independently, and work for periods without daily direction from investigators.