Guidehouse

Epidemiologist Data Scientist

Guidehouse • $88K — $105K *
Charlotte, NC 28269In-Person
Healthcare
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Master's degree in Data Science, Epidemiology, Public Health, Biostatistics, or related STEM field
  • 2+ years of experience in health data science and epidemiology
  • Proficient in R and Python for data manipulation and analysis
  • Experience with statistical modeling and biostatistics, preferably in SAS
  • Knowledge of geospatial analysis using QGIS or ArcGIS

Responsibilities

  • Lead quantitative analysis and modeling of health data
  • Estimate population-level prevalence and incidence of chronic diseases
  • Design and implement machine learning and statistical models
  • Develop and maintain data pipelines and dashboards
  • Collaborate with health experts to interpret findings
  • Prepare reports and publications for varied audiences
  • Ensure data quality and reproducibility across workflows

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Tuition Reimbursement and Learning Opportunities
  • Employee Assistance Program
  • Corporate Sponsored Events & Community Outreach
Full 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 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 a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Business Services
Founded
2018
* Ladders Estimates

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