Epidemiologist Data Scientist

Guidehouse; Atlanta (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Paid holidays

Parental Leave

401(k) Retirement Plan

Life insurance

Health Savings Account

Transit benefits

Tuition reimbursement

Learning opportunities

Employee referral program

Job summary

Guidehouse is seeking an Epidemiologist Data Scientist to lead quantitative analyses of federal health data (CMS, claims, clinical data) to generate insights for public health policy. You will design and implement ML and statistical models, develop scalable data pipelines, and collaborate with clinicians and epidemiologists to inform CDC strategy.

You will work with large datasets using R, Python, SQL, and platforms like DataBricks and Snowflake, producing reports and publications for diverse

Qualifications

• Masters degree in Data Science, Epidemiology, Public Health, Biostatistics, or STEM related field.
• 2+ years of health data science and epidemiology experience analyzing real-world data (RWD).
• Experience with R, Python, and SQL on large datasets.
• Biostatistics and SAS experience; SAS→R conversions is a plus.
• Geospatial analysis experience (QGIS/ArcGIS).
• Experience with statistical modeling, ML, and data visualization.

Responsibilities

• Lead quantitative analyses and modeling of real-world health data to inform CDC policy and strategy.
• Estimate population-level prevalence and incidence using real-world data.
• Develop and refine machine learning and statistical models for surveillance and research.
• Build data pipelines and dashboards for large health datasets using R, Python and SQL.
• Utilize DataBricks and Snowflake for scalable analytics.
• Prepare scientific reports and presentations for technical and non-technical audiences.

Skills

Epidemiology

Data science

R

Python

SQL

Machine learning

Geospatial analysis

Communication

Education

Master's degree

Public health

Biostatistics

Tools

DataBricks

Snowflake

SAS

ArcGIS

QGIS

Palantir Foundry

Job description

## Epidemiologist Data ScientistApply: US - TX, San Antonio: US - TX, Houston: US - NC, Charlotte: US - AL, Huntsville: US - GA, Atlanta: Full time: Posted Yesterday: 42899**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