Biostatistician Advanced Modeling & Public Health Analytics

Guidehouse

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profile Job Location:

Atlanta, GA - USA

profile Monthly Salary: Not Disclosed
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


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:

  • Masters 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


What Would Be Nice To Have:

  • 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


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

About Guidehouse

Guidehouse is an Equal Opportunity EmployerProtected Veterans Individuals with Disabilities or any other basis protected by law ordinance or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities or to apply for a position and you require an accommodation please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @ or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse please report the matter to Guidehouses Ethics Hotline. If you want to check the validity of correspondence you have received please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicants dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family:Data Science ConsultingTravel Required:Up to 10%Clearance Required:Ability to Obtain Public TrustWhat 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 statistic...
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Guidehouse is the only scaled advisory consultancy in the world to fully integrate commercial and public or government businesses within each of our industry segments because complex problems require both perspectives to address and outwit.

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