Details:

  • Compensation: $80 - $150/hour
  • Benefits: Medical, Dental, Vision
  • Employment Classification: Contract
  • Status: Remote
  • Job ID: 21489
 

Job Title: Biostatistician — SMART Study Design

Work Location: Montgomery County, Maryland

Summary:

Seeking an experienced Biostatistician with expertise in Sequential Multiple Assignment Randomized Trial (SMART) design to support clinical development initiatives. This contract role focuses on adaptive methodologies and evidence-based treatment sequencing within complex therapeutic programs.

Responsibilities:

  • Lead the statistical design and analysis of SMART trials, including adaptive interventions and dynamic treatment regimes.
  • Develop and review statistical analysis plans, randomization schemes, and sample size justifications tailored to SMART frameworks.
  • Collaborate with clinical, regulatory, and programming teams to ensure study designs align with regulatory expectations.
  • Utilize advanced methods such as Q-learning, inverse probability weighting, and marginal mean weighting through stratification to estimate optimal treatment rules.
  • Contribute to submission packages for regulatory filings and interact with regulatory agencies as required.
  • Provide biostatistical input for protocol development, case report form design, and data monitoring committee charters.
  • Support the integration of adaptive and platform trial methodologies into clinical development strategies.
  • Ensure statistical deliverables meet project timelines and quality standards.

Qualifications:

  • Advanced degree (MS or PhD) in Biostatistics, Statistics, or a related quantitative field.
  • 5+ years of clinical trial experience in relevant settings.
  • Hands-on experience designing or analyzing SMART trials.
  • Proficiency in SAS and/or R, including simulation and dynamic treatment regime estimation packages.
  • Strong foundation in adaptive and platform trial methodologies.
  • Experience with regulatory submissions is strongly preferred.

Published Category: Biostatistics & Data Sciences

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