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 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 & 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
• annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and  protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.