Biostatistics & Real-World Evidence Manager – Hybrid (Cheshire)

Carrot Recruitment

Manchester

Hybrid

GBP 52,000 - 56,000

Full time

10 days ago

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Benefits offered by this job

Hybrid working
Competitive benefits package

Job summary

Carrot Recruitment is supporting a well-established Real-World Evidence consultancy to appoint a Manager – Biostatistics, Epidemiology & Real-World Evidence to join their growing team in Cheshire. This hybrid role focuses on statistical leadership across RWE projects and mentoring junior colleagues.

The role involves study design, SAP development, and collaboration with epidemiologists and programmers to deliver robust evidence for pharmaceutical clients.

Qualifications

  • Strong background in biostatistics or applied statistics.
  • Experience applying statistical methods within healthcare, epidemiology, observational research or real-world evidence.
  • Proficiency with statistical software such as R, Stata, SAS or Python.
  • Experience in consultancy or pharmaceutical/academic research environments is welcome.

Responsibilities

  • Provide statistical and methodological guidance across observational studies and real-world evidence projects.
  • Support study design, protocol development and SAPs.
  • Apply statistical methods to healthcare datasets including longitudinal and survival analyses.
  • Review analyses, interpret findings and contribute to reports and publications.
  • Collaborate with programmers, epidemiologists and researchers to ensure robust delivery.
  • Mentor junior colleagues and participate in client discussions and proposals.

Skills

Biostatistics
Medical statistics
Applied statistics
Statistical mentoring
Client communication

Education

MSc or PhD in Biostatistics or related field

Tools

R
Stata
SAS
Python

Job description

Carrot Recruitment is supporting a well-established Real-World Evidence consultancy to appoint a Manager – Biostatistics, Epidemiology & Real-World Evidence to join their growing team in Cheshire. This hybrid role focuses on statistical leadership across RWE projects and mentoring junior colleagues.

The role involves study design, SAP development, and collaboration with epidemiologists and programmers to deliver robust evidence for pharmaceutical clients.

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