Epidemiologist Data Scientist

• Lead quantitative analysis and modeling of real-world data, including CMS, commercial claims, and clinical health data, to generate actionable insights for federal public health.
• Lead analyses to estimate chronic disease population-level prevalence and incidence leveraging real-world data.
• Design, implement, and refine machine learning and statistical models (e.g., regression, clustering, causal inference) for surveillance and research purposes.
• Develop and maintain data pipelines and dashboards for large-scale health datasets using R, Python, and SQL.
• Utilize Data Bricks and Snowflake for scalable data processing and analytics.
• Collaborate with epidemiologists, clinicians, and public health experts to interpret findings and inform CDC policy and strategy.
• Prepare scientific reports, presentations, and publications for both technical and non-technical audiences.
• Ensure data quality, documentation, and reproducibility across all analytic workflows.
• Support onboarding and training of new team members as needed.

Data Science & Analysis

Up to 10%

Ability to Obtain Public Trust

• Lead quantitative analysis and modeling of real-world data, including CMS, commercial claims, and clinical health data, to generate actionable insights for federal public health.
• Lead analyses to estimate chronic disease population-level prevalence and incidence leveraging real-world data.
• Design, implement, and refine machine learning and statistical models (e.g., regression, clustering, causal inference) for surveillance and research purposes.
• Develop and maintain data pipelines and dashboards for large-scale health datasets using R, Python, and SQL.
• Utilize Data Bricks and Snowflake for scalable data processing and analytics.
• Collaborate with epidemiologists, clinicians, and public health experts to interpret findings and inform CDC policy and strategy.
• Prepare scientific reports, presentations, and publications for both technical and non-technical audiences.
• Ensure data quality, documentation, and reproducibility across all analytic workflows.
• Support onboarding and training of new team members as needed.

• Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.
• Masters degree in Data Science, Epidemiology, Public Health, Biostatistics, or STEM related field.
• TWO (2) or more years material experience in health data science and epidemiology, including deep experience analyzing real-world data (RWD), including surveillance, commercial claims data, clinical data, or other large health datasets to generate epidemiological population-level estimates.
• Experience in R, Python (including libraries such as Pandas, Num Py, Scikit-learn), and SQL, including large data set manipulation.
• Experience in biostatistics and using statistical platforms – specifically SAS; ideal experience in SAS to R conversions – and conducting epidemiological analyses
• Experience in geospatial analyses using QGIS, ArcGIS, etc.
• Experience with statistical modeling, machine learning, and data visualization.

• Experience with generative AI, NLP, or advanced analytics in healthcare settings.
• Strong background in population-level public health, with experience in scientific writing and presentation.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment independently to produce high-quality deliverables on-time
• Prior experience conducting real-world evidence (RWE) studies
• Familiarity with public health surveillance systems, local/state/federal health programs, or similar public sector environments.
• Experience in disease surveillance
• Experience with Data Bricks, Snowflake, and/or Palantir Foundry.
• Prior publication history in peer-reviewed journals
• Prior work in consulting and working with multi-disciplinary teams and stakeholder engagement.

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time &…