Modeler/Data Scientist I (Epidemiology)

Johns Hopkins University • Baltimore, MD

2d • Hybrid

About The Position

We are looking to hire a talented and team-oriented Modeler/Data Scientist I to lead modeling efforts related to population-level spread of infectious diseases, specifically tuberculosis. This Data Scientist/Modeler will work with Dr. David Dowdy and the JHU Center for Tuberculosis Research at JHU on two projects that aim to forecast the population-level impact of TB vaccines and demand-generation interventions, respectively. This position is ideal for candidates looking to boost their academic productivity and reputation (e.g., through first-author manuscripts and collaborations with content experts) over a 1.5-year timeframe.

The Data Scientist I will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks.

Requirements

• Bachelor’s Degree.
• Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience.
• Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Nice To Haves

• Master’s or Doctoral Degree in Epidemiology or related field.
• Experience with coding in R (or python), including the use of generative AI tools and best practices for data reproducibility (e.g., tidyverse), visualization (e.g., ggplot), and version control (e.g., git).
• Experience in developing mechanistic models for infectious diseases.

Responsibilities

• Support the development of calculations and reports, which will require programming.
• Support the development and tuning of epidemiological models, which will require programming.
• Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance.
• Mine various data resources for development of key metrics, calibration targets, and general data useful for planning and research study design.
• Perform error analysis and model calibration; suggest and implement improvements.
• Other duties as assigned.
• Develop epidemiological models and calibrate those models to available data.
• Participate in the development of data tools and resources for these analyses.
• Conduct calculations and analyses to support the use of data (including in the scientific literature).

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level