Remote Biostatistics Consultant | Part-Time

Sigma Inc

  • Marlborough, MA
  • 3 days ago
  • Remote

    Highlights

    This role will work closely with medical strategy leaders, publication specialists, statistical programmers, and cross-functional research teams to ensure analyses are scientifically rigorous, accurate, and ready for regulatory and publication use. This part-time consulting opportunity is ideal for a biostatistician with strong clinical trial experience, advanced statistical expertise, and the ability to collaborate with cross-functional teams to deliver high-quality, publication-ready analyses.

    Numbers & Facts

    LocationMarlborough, MA (
    Remote
    )

    Description

    Remote Biostatistics Consultant | Part-Time | 6-Month Contract

    Sigma Systems is seeking an experienced Remote Biostatistics Consultant to support statistical deliverables for an oncology clinical research program. This part-time consulting opportunity is ideal for a biostatistician with strong clinical trial experience, advanced statistical expertise, and the ability to collaborate with cross-functional teams to deliver high-quality, publication-ready analyses.

    Job Details

    Position: Biostatistics Consultant
    Location: Remote
    Employment Type: Part-Time Contract
    Contract Duration: 6 Months

    Work Schedule:

    • First 3 months: Approximately 10–15 hours per week
    • Remaining contract period: Approximately 5–10 hours per week

    Overview

    The Biostatistics Consultant will serve as a key statistical partner supporting oncology clinical trial activities. The consultant will review and finalize analysis datasets, validate statistical analyses, support data quality initiatives, generate statistical outputs, and contribute to publication-related materials.

    This role will work closely with medical strategy leaders, publication specialists, statistical programmers, and cross-functional research teams to ensure analyses are scientifically rigorous, accurate, and ready for regulatory and publication use.

    Key Responsibilities

    • Serve as the primary biostatistical resource supporting study closeout activities
    • Review, validate, and execute statistical analyses for clinical trial data
    • Review and finalize analysis datasets for accuracy and consistency
    • Conduct data quality checks and identify potential data issues
    • Provide statistical guidance to programming teams developing:
      • SDTM and ADaM datasets
      • Tables, Listings, and Figures (TLFs)
      • Statistical specifications and analysis outputs
    • Perform quality control reviews of statistical programming deliverables
    • Generate and interpret statistical tables, figures, and listings
    • Apply advanced statistical methodologies to oncology clinical trial data
    • Support statistical content development for publications and scientific communications
    • Communicate complex statistical concepts clearly to technical and non-technical stakeholders
    • Collaborate with cross-functional teams to address publication and analysis-related questions
    • Provide data-driven insights and recommendations to project teams

    Required Qualifications

    • Master’s or PhD degree in Statistics, Biostatistics, or a related quantitative field
    • Clinical trial experience:
      • Approximately 3+ years for PhD candidates
      • Approximately 5+ years for MS candidates
    • Strong understanding of statistical principles, clinical trial design, and modern statistical methodologies
    • Experience applying statistical methods in oncology clinical trials
    • Strong written and verbal communication skills
    • Ability to explain complex statistical concepts, methodologies, and analysis plans to diverse audiences
    • Experience with Bayesian modeling and Bayesian analysis
    • Proficiency with statistical programming tools including:
      • SAS
      • R
      • Other statistical analysis software

    Preferred Experience

    • Experience with CDISC data standards including:
      • SDTM
      • ADaM
    • Experience reviewing statistical programming specifications and outputs
    • Experience supporting clinical publications and scientific manuscripts
    • Strong attention to detail and commitment to data integrity

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