Epidemiologist Data Scientist

Job Summary

Leading quantitative analysis and modeling of real-world health data, the full-time Epidemiologist Data Scientist will generate actionable insights for federal public health, design machine learning models, and collaborate with public health experts in a remote work environment.

Key responsibilities

• Conduct quantitative analysis and modeling of health data to estimate chronic disease prevalence and incidence
• Design and implement machine learning and statistical models for surveillance and research purposes
• Develop and maintain data pipelines and dashboards for large-scale health datasets using R, Python, and SQL

Required qualifications

• Advanced degree (MS or PhD) in Data Science, Epidemiology, Public Health, Biostatistics, or a related field
• Material experience in health data science and epidemiology, particularly with real-world data analysis
• Strong proficiency in R, Python, and SQL, including manipulation of large datasets
• Deep experience in biostatistics and conducting epidemiological analyses
• Demonstrated experience with statistical modeling, machine learning, and data visualization