Biostatistician - Advanced Modeling & Public Health Analytics

Guidehouse•Atlanta, GA

6d•Hybrid

About The Position

The Biostatistician will provide advanced scientific and analytic support to public health agencies and related life sciences projects. This role focuses on rigorous statistical modeling and public health analytics, ensuring high-quality deliverables for federal and private sector clients. The position combines advanced biostatistical methods with strong programming and academic writing skills.

Requirements

Master’s degree is required
Minimum THREE (3) years of industry experience
Experience with R, SAS, Python (including libraries such as Pandas, NumPy, Scikit-learn), and SQL for statistical programming, data manipulation, data visualization.
Demonstrated experience with time series analyses, Bayesian, and other advanced statistical modeling techniques.
Demonstrated experience with statistical modeling, machine learning, and data visualization
Strong academic writing skills and familiarity with experiences in peer review and clearance processes.
Ability to work in a hybrid setting in Atlanta, GA
Ability to work independently and design statistical analyses based on research questions and data types
Excellent communication and collaboration skills

Nice To Haves

PhD
Experience with hierarchical and longitudinal modeling, structural equation modeling, and zero-inflated models.
Familiarity with public health, real-world, and open-source (i.e., census) datasets and analytic methods.
Experience developing automated workflows and reproducible reports using R Markdown and version control tools (e.g., GitHub).
Experience with DataBricks and/or Snowflake for large datasets
Previous experience in consulting

Responsibilities

Design and implement advanced statistical analyses, including time series analyses (e.g., interrupted time series), segmented regression, linear/logistic regression, hierarchical and longitudinal modeling.
Develop and validate complex models such as factor analysis, structural equation modeling, and zero-inflated negative binomial models.
Create interactive dashboards and analytic tools using R Shiny and Python.
Prepare manuscripts, reports, and presentations for peer-reviewed publications and clearance processes.
Collaborate with multidisciplinary teams to interpret findings and provide actionable insights.
Ensure compliance with federal public health agency standards and data governance requirements.

Benefits

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