Guidehouse Digital, LLC is seeking an Epidemiologist Data Scientist to help advance epidemiologic studies and surveillance programs through modern analytics and public health data modernization. Based in Houston, TX (onsite), this role combines independent statistical work with client-facing communication, data product development, and technical guidance to support technical, operational, and executive audiences. In this position, you will analyze data from multiple health sources, design and validate data quality rules and surveillance indicators, and help deliver dashboards and recurring data products. You will also support modernization and automation of analytic workflows and reporting processes, while contributing to scientific and project deliverables.
Responsibilities:
Conduct epidemiologic analyses using surveillance, clinical, claims, laboratory, survey, and other health datasets.
Create analysis plans, statistical methods documentation, analytic specifications, and technical reports.
Execute descriptive, longitudinal, trend, multivariable, and other epidemiologic analyses.
Translate complex findings into actionable insights for technical, operational, and executive audiences.
Design and validate data quality rules, surveillance indicators, and performance measures.
Develop dashboards, visualizations, and recurring data products using modern analytics tools.
Support modernization and automation of analytic workflows and reporting processes.
Contribute to scientific manuscripts, abstracts, reports, presentations, and other dissemination products.
Provide technical assistance and guidance to clients, stakeholders, and project teams.
Mentor junior staff and support quality review of epidemiologic deliverables.
Role is contingent upon contract award.
Requirements:
Must be a U.S. Citizen or Permanent Resident and able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST".
Education and experience:
Bachelor’s degree AND 5+ years of experience in epidemiology, public health, biostatistics, health data science, or a related discipline; ORMPH/MS AND 3+ years of experience in epidemiology, public health, biostatistics, health data science, or a related discipline.
Experience conducting epidemiologic analyses on large-scale public health or healthcare datasets.
Experience with SAS, R, Python, SQL, or comparable analytical tools.
Experience interpreting and communicating epidemiologic findings to diverse stakeholders.
Experience supporting surveillance, research, evaluation, or public health reporting initiatives.
TechnologiesSAS, R, Python, SQL, Databricks, Snowflake, Palantir Foundry, Azure
Benefits:- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Parental Leave 401(k) Retirement PlanGroup 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
Additional Information
Salary: USD 80,000 - 133,000 per year
Experience: 3+ years minimum
Travel Required: Up to 10%Clearance Required: Ability to Obtain Public Trust
Job Family: Data Science & Analysis
What Would Be Nice to Have Experience supporting federal health agencies or large public health organizations. Strong technical writing and presentation skills. Ability to manage multiple priorities in a fast-paced consulting environment. Experience with HIV surveillance processes and data. Experience working with state public health agencies. Experience with survey data, weighting methodologies, causal inference, or advanced statistical methods. Experience using Databricks, Snowflake, Palantir Foundry, Azure, or similar cloud platforms. Experience with machine learning, predictive modeling, or AI-enabled analytics. Experience leading analytic workstreams or supervising junior analysts. Publication history in peer-reviewed journals. Experience supporting data modernization, interoperability, or health information exchange initiatives.
