RWE Statistics & Data Sciences Consultant

By | August 12, 2026
  • Contract
  • Remote

SimulStat

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Remote, 12-month contract (renewable)

Principal-level, Senior-level, or Consultant-Level 

This position provides support for secondary data studies in the study design, statistical analysis, and interpretation of results. Interact with study teams to provide statistical and scientific expertise in the project deliverables. Provide excellent communication with people from the different functions. Work under some supervision to solve study/analytics problems.

Responsibilities

Secondary Data Study Protocol Development, Statistical Analysis Plan (SAP), Statistical Analysis, Results Interpretation, and study report:

  • Supports statistical activities for studies including study design, protocol development, SAP development, analysis files development, statistical analysis accuracy validation, results interpretation and study report input and review.
  • Acts as main statistical contact for the assigned studies and projects.
  • Work effectively with the study team to support and provide the planned deliverables.

Real-World Evidence (RWE) Activities:

  • Provides guidance in scientific and statistical aspects of RWE activities and support deliverables to ensure quality.
  • RWE activities include the real-world data (RWD) inquires, RWD/E consultation, and the feasibility assessment using the secondary data.
  • Work closely with the business partner to support and provide the planned deliverables.

RWE Analytics:

  • Foster new methodology and provide innovative analytics technique method (e.g. External Control Arm, machine learning, predictive model).

Excellent Communication:

  • Work effectively with the customers/stakeholders and clearly communicate the statistical and scientific input in the design, conduct, analysis, and results interpretation.

Qualifications:

Education:

  • Master’s Degree or PhD (from an accredited college or university) in Statistics/Biostatistics or pharmaco-epidemiology or another related field

Experience:

  • 4 or more years relevant experience in the pharmaceutical industry
  • Proficiency in statistical software such as SAS, R, or Python
  • Oncology experience preferred

To Apply for this Job Click Here

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