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Epidemiologist, Data Scientist
Guidehouse. 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 .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in quantitative analysis and modeling of health data, utilizing R, Python, and SQL for data manipulation and machine learning. Strong background in epidemiology and public health, with a focus on generating actionable insights and conducting scientific research.
Highest-signal resume keywords
Quantitative AnalysisMachine LearningEpidemiologyData VisualizationPublic Health
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
RPythonSQLBiostatisticsStatistical ModelingGeospatial AnalysisData ManipulationCausal InferenceSurveillance AnalysisGenerative AI
Soft Skills
CollaborationScientific WritingPresentation SkillsTrainingStakeholder Engagement
Tools & Technologies
DataBricksSnowflakeSASQGISArcGISPalantir Foundry
Certifications & Qualifications
Federal or DHS Public Trust
Industry Keywords
Real-World DataChronic DiseasePopulation-Level EstimatesPublic Health SurveillanceHealth Data ScienceEpidemiological AnalysisClinical DataCommercial Claims DataPeer-Reviewed PublicationsReal-World Evidence
Tech Stack
Tools & technologiesNumpyPandasPythonScikit-LearnSnowflakeSQL
About the role
Key responsibilities & impact- 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, including regression, clustering, and 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 DataBricks 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 technical and non-technical audiences
- Ensure data quality, documentation, and reproducibility across analytic workflows
- Support onboarding and training of new team members as needed
Requirements
What you’ll need- 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, NumPy, 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
- 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 DataBricks, 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
Benefits
Comp & perks- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Parental Leave
- 401(k) Retirement Plan
- Group Term Life and Travel Assistance
- Voluntary Life and AD&D Insurance
- Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
- Transit and Parking Commuter Benefits
- Short-Term & Long-Term Disability
- Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Care.com annual membership
- Employee Assistance Program
- Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
- Position may be eligible for a discretionary variable incentive bonus
- Flexible benefits package