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Biostatistician Lead

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Guidehouse
Full Time position
Listed on 2026-08-15
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 92000 - 153000 USD Yearly USD 92000.00 153000.00 YEAR
Job Description & How to Apply Below

What You Will Do

Guidehouse is seeking a Biostatistics Lead to provide technical leadership and oversight across statistical analysis, study methodology, surveillance analytics, program evaluation, and research efforts within our Health AI/Data practice. This individual will serve as the senior statistical authority responsible for ensuring methodological rigor, analytical quality, reproducibility, and scientific defensibility across complex public health and healthcare analytics initiatives. The Biostatistics Lead will collaborate closely with epidemiologists, data scientists, informaticists, and client stakeholders to guide statistical approaches, review analytical products, and support evidence-based decision making.

  • Serve as the lead biostatistical advisor across surveillance, research, evaluation, and advanced analytics initiatives.
  • Lead development of statistical methodologies, Statistical Analysis Plans (SAPs), analytic protocols, sampling approaches, weighting methodologies, and population estimation strategies.
  • Provide technical oversight and peer review for statistical analyses, analytic code, modeling approaches, assumptions, and interpretation of findings.
  • Design and oversee complex analyses of surveillance, survey, claims, clinical, registry, laboratory, and other real-world health datasets.
  • Guide methodological decisions related to study design, causal inference, quasi-experimental methods, observational studies, and evaluation frameworks.
  • Lead development and validation of statistical models, surveillance indicators, outcome measures, performance metrics, and population-level estimates.
  • Partner with epidemiologists, researchers, and data scientists to translate research and policy questions into statistically rigorous analytic approaches.
  • Evaluate and address methodological considerations including bias, confounding, missing data, selection effects, variance estimation, and statistical uncertainty.
  • Review and approve statistical deliverables, technical reports, publications, presentations, and dissemination products prior to release.
  • Lead interpretation and communication of statistical findings to technical, scientific, operational, and executive stakeholders.
  • Mentor and provide technical leadership to biostatisticians, epidemiologists, analysts, and data scientists.
  • Contribute to proposal development, solution design, thought leadership, and business development activities requiring advanced statistical expertise.
  • Role is contingent upon contract award
Job Family

Data Science & Analysis

Travel Required

Up to 10%

Clearance Required

Ability to Obtain Public Trust

What You Will Do

Guidehouse is seeking a Biostatistics Lead to provide technical leadership and oversight across statistical analysis, study methodology, surveillance analytics, program evaluation, and research efforts within our Health AI/Data practice. This individual will serve as the senior statistical authority responsible for ensuring methodological rigor, analytical quality, reproducibility, and scientific defensibility across complex public health and healthcare analytics initiatives. The Biostatistics Lead will collaborate closely with epidemiologists, data scientists, informaticists, and client stakeholders to guide statistical approaches, review analytical products, and support evidence-based decision making.

  • Serve as the lead biostatistical advisor across surveillance, research, evaluation, and advanced analytics initiatives.
  • Lead development of statistical methodologies, Statistical Analysis Plans (SAPs), analytic protocols, sampling approaches, weighting methodologies, and population estimation strategies.
  • Provide technical oversight and peer review for statistical analyses, analytic code, modeling approaches, assumptions, and interpretation of findings.
  • Design and oversee complex analyses of surveillance, survey, claims, clinical, registry, laboratory, and other real-world health datasets.
  • Guide methodological decisions related to study design, causal inference, quasi-experimental methods, observational studies, and evaluation frameworks.
  • Lead development and validation of statistical models, surveillance indicators, outcome…
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