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Contemporaries Inc. is a government contracting firm supporting the National Institutes of Health in their efforts to hire a Data Scientist to support environmental health and extreme weather research initiatives. This is a long-term contract opportunity offering remote work flexibility. We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis, and data visualization who are excited about supporting impactful public health and scientific research efforts.

Position Responsibilities

• Support the continued development and optimization of the Amadeus software package within the open-source R programming environment
• Improve computational performance, reduce package dependencies, and enhance runtime efficiency of the Amadeus code base
• Develop new geospatial environmental datasets proposed by the health and extreme weather (HEW) research community and leadership team
• Work within established coding and development style guidelines for the Amadeus R-package
• Create and revise tutorials related to:
• • data downloads,
  • covariate calculations,
  • statistical model development,
  • and data visualization
• Utilize the Amadeus R-package to support data sourcing and environmental research workflows
• Develop and maintain interactive R Shiny dashboards for HEW datasets and scientific reporting
• Assist with peer-reviewed manuscript development, including data analysis, technical writing, editing, and interpretation of findings
• Provide scientific guidance, analytical support, and interpretation of results to the research team
• Collaborate with researchers, analysts, and leadership teams supporting environmental and public health initiatives

Minimum Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Bioinformatics, Environmental Science, Public Health, or a related field
• Minimum of 3 years of professional experience in data science, statistical programming, or computational research support
• Strong experience using the R programming language
• Experience working with large-scale geospatial or environmental datasets
• Experience developing dashboards or interactive visualizations using R Shiny
• Experience with shell scripting such as Bash
• Familiarity with batch job scripting or high-performance computing environments such as SLURM
• Strong analytical, technical writing, and problem-solving skills
• Ability to work independently while supporting collaborative scientific research efforts

Preferred Qualifications

• Experience supporting public health, environmental health, climate, or biomedical research projects
• Experience contributing to open-source software or research-focused R packages
• Experience assisting with manuscript preparation or peer-reviewed publications
• Familiarity with geospatial analysis and statistical modeling techniques