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Zero Hour Contract - Statistician - Real World Evidence

Roles & Responsibilities

  • Expert understanding of observational study design and analysis.
  • Deep knowledge of real world evidence (RWE/RWD) principles, strengths, and limitations.
  • Strong grounding in causal inference concepts, bias, and confounding.
  • Working knowledge of relevant regulatory guidance (FDA RWE Framework, EMA guidance, ISPOR good practice).

Requirements:

  • Perform standard real world analysis studies and provide expert statistical input into the design of observational/non-interventional studies using real world data.
  • Advise on study designs (e.g. pre/post, cohort, matched comparator, benchmark-aligned analyses) and define analytically sound outcomes reporting frameworks.
  • Act as an independent statistical reviewer of client-generated RWE analyses, document QC findings, and support issue resolution per SOPs.
  • Engage with sponsors and multidisciplinary teams, represent Quanticate as an authoritative biometrics partner, and contribute to internal training and thought leadership in RWE.

Job description

Contract Real World Evidence Statistician – RWE Analysis (Zero Hours Contractor)

Location: Remote / Flexible
Contract Type: Zero Hours Specialist Contractor (Time and Materials)
Function: Statistics / Real World Evidence

About the Role

We are seeking an experienced RWE, Real World Evidence Statistician to provide specialist statistical support for RWE clinical studies on a flexible, zero-hours contract basis. This role focuses on delivering high-quality RWE analyses, quality control activities, and analytical peer review in line with study protocols, Statistical Analysis Plans (SAPs), and regulatory expectations.

This is an ideal opportunity for a contractor who enjoys working independently within a defined analytical scope while collaborating with multidisciplinary clinical development teams.

Key Responsibilities

Real World Evidence Data Analysis and Reporting

  • Perform standard real world analysis studies
  • Provide expert statistical input into the design of observational and non-interventional studies using real world data (RWD)
  • Advise on appropriate study designs (e.g. pre/post, cohort, matched comparator, benchmark-aligned analyses) and their limitations
  • Define analytically sound frameworks for outcomes reporting aligned to the intended use (e.g. external credibility rather than regulatory submission)

Quality Control and Review

  • Act as an independent statistical expert reviewing client-generated RWE analyses
  • Provide written and verbal critique of analytical approaches and outputs
  • Support refinement of outcomes reporting to improve credibility and external acceptance
  • Peer review analyses performed by other statisticians or programmers
  • Document QC findings clearly and support issue resolution in line with SOPs and good statistical practice

Client-Facing Scientific Support

  • Engage directly with sponsors to understand clinical services, data sources, and stakeholder objectives
  • Participate in scientific discussions with clinicians, medical leadership, and external partners
  • Represent Quanticate as an independent, authoritative biometrics partner in RWE discussions

Training and Thought Leadership

  • Provide internal guidance or training on RWE methodology and good practice
  • Contribute to white papers, methodological guidance, or thought leadership content in RWE
  • Support development of repeatable RWE analysis frameworks for ongoing client use

Contract Details

  • Flexible zero-hours arrangement based on project demand
  • Time and materials engagement model
  • Opportunity to support a range of early-phase clinical development programmes
  • Fully remote working environment

How to Apply

Please submit your CV outlining relevant PK analysis experience and availability for contract work.

Requirements

About You

Qualifications and Knowledge

  • Expert understanding of observational study design and analysis
  • Deep knowledge of RWE/RWD principles, strengths, and limitations
  • Strong grounding in causal inference concepts, bias, and confounding
  • Working knowledge of relevant guidance (e.g. FDA RWE Framework, EMA guidance, ISPOR good practice)
  • Minimum qualification: MSc in Statistics or related quantitative discipline (or equivalent experience)

Experience

  • Typically 10-15 years’ experience in pharmaceutical, healthcare, CRO, or academic settings
  • Demonstrated experience delivering independent RWE or outcomes research consultancy
  • Proven ability to review, challenge, and refine non-interventional analyses
  • Experience working with medical record–derived or routinely collected healthcare data

Technical Skills

  • Proficiency in SAS and/or R; familiarity with real world data structures
  • Ability to explain complex methodological issues clearly and proportionately
  • Strong analytical accuracy and attention to detail
  • Ability to work independently while adhering to defined specifications

Benefits

N/A

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