Epidemiologist Data Scientist

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

Benefits offered by this job

Health insurance

401(k) Retirement Plan

Tuition reimbursement

Employee Assistance Program

Parental Leave

Job summary

Guidehouse seeks a data scientist to lead quantitative analyses on real-world health data, spanning CMS, claims, and clinical datasets. You will develop models, pipelines, and dashboards using R, Python, and SQL to inform federal public health strategies.

The role requires collaboration with epidemiologists and clinicians, plus ability to communicate findings to technical and non-technical audiences. Public trust eligibility is required.

Qualifications

• Must be able to OBTAIN and MAINTAIN a Federal or DHS Public Trust.
• Master's degree in Data Science, Epidemiology, Public Health, Biostatistics, or STEM field.
• 2+ years in health data science/epidemiology with real-world data experience.
• Experience in R, Python (Pandas/NumPy/Scikit-learn) and SQL with large datasets.
• Experience in biostatistics and SAS; SAS-to-R conversions preferred.
• Geospatial analyses using QGIS/ArcGIS.
• Experience with statistical modeling, ML, and data visualization.

Responsibilities

• Lead quantitative analysis and modeling of real-world data to generate actionable insights for federal public health.
• Lead analyses to estimate chronic disease population-level prevalence and incidence using real-world data.
• Design, implement, and refine ML and statistical models for surveillance and research.
• 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 analytic workflows.
• Support onboarding and training of new team members as needed.

Skills

Epidemiology knowledge

Data visualization

Communication & collaboration

Independent, fast-paced delivery

Education

Master's degree in Data Science

Master's degree in Epidemiology

Master's degree in Public Health

Master's degree in Biostatistics

Tools

R

Python (Pandas, NumPy, Scikit-learn)

SQL

SAS

DataBricks

Snowflake

QGIS

ArcGIS

Job description

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 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&DD 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 [e-mail]. 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 [e-mail]. 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.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [e-mail]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.