Epidemiologist, Data Scientist

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $85k - $141k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

💰 Grant on 2023-02

Consulting • Digital Services • Public Sector

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ 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.)