Epidemiologist Data Scientist

Job Family Data Science & Analysis Travel Required Up to 10% Clearance Required Ability to Obtain Public Trust What You Will Do • 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 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 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. What You Will 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. What Would Be Nice To Have • 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 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. What We Offer 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. Benefits Include • 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 About…