Epidemiologist Data Scientist

About the role

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 Guidehouse

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.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

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