Biostatistician - Advanced Modeling & Public Health Analytics
Job Family:
Data Science Consulting
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
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.
Key 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.
What You Will Need:
• Bachelor's degree is required
• Minimum ONE (1) year 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
What Would Be Nice To Have:
• Masters
• 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
The annual salary range for this position is $89,000.00-$148,000.00. 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
Apply tot his job
Apply To this Job
Data Science Consulting
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
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.
Key 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.
What You Will Need:
• Bachelor's degree is required
• Minimum ONE (1) year 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
What Would Be Nice To Have:
• Masters
• 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
The annual salary range for this position is $89,000.00-$148,000.00. 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
Apply tot his job
Apply To this Job