Note: The job is a remote job and is open to candidates in USA. Guidehouse is a leading consulting firm specializing in data science and analysis, and they are seeking an Epidemiologist Data Scientist to lead quantitative analysis and modeling of real-world health data. The role involves collaborating with public health experts to generate actionable insights and develop machine learning models for health data analysis.
Responsibilities
- 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
Skills
- Advanced degree (MS or PhD) in Data Science, Epidemiology, Public Health, Biostatistics, or related field
- 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
- Strong proficiency in R, Python (including libraries such as Pandas, NumPy, Scikit-learn), and SQL, including large data set manipulation
- Deep experience in biostatistics and using statistical platforms – specifically SAS; ideal experience in SAS to R conversions – and conducting epidemiological analyses
- Demonstrated experience with statistical modeling, machine learning, and data visualization
- 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
- Ability to obtain and maintain a Public Trust or higher federal security clearance, as required
- Experience with generative AI, NLP, or advanced analytics in healthcare settings
- 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
Benefits
- 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
Company Overview