Epidemiology Data Scientist

Job Family:

Data Science Consulting

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:

• Advanced degree (MS or PhD) in Data Science, Epidemiology, Public Health, Biostatistics, or related field.

• Minimum FIVE (5) years of experience in health data science and epidemiology, including deep experience analyzing CMS or commercial claims data, clinical data, or other large health datasets to generate epidemiological population-level estimates.

• Strong proficiency in R, Python (including libraries such as Pandas, NumPy, Scikit-learn), and SQL, including large data set manipulation.

• Demonstrated experience with statistical modeling, machine learning, and data visualization.

• Experience with DataBricks and/or Snowflake.

• 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

What Would Be Nice To Have:

• Experience with generative AI, NLP, or advanced analytics in healthcare settings.

• Deep experience in biostatistics and using statistical platforms including SAS and R

• Familiarity with public health surveillance systems, federal health programs, or similar public sector environments.

• Experience in chronic disease surveillance, preferably neurological conditions

• Prior work in consulting and working with multi-disciplinary teams and stakeholder engagement.

The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

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.