Statistical Analyst (SAS/ADaM) - Global Studies

Medpace; Stirling; On-site; GBP 28,000 - 42,000; Full time

Benefits offered by this job

Flexible work environment

Competitive compensation and benefits

Competitive PTO packages

Structured career paths with growth

Company-sponsored employee events

Health and wellness initiatives

Awards

Forbes recognition as a top midsize US

CRO Leadership Awards

Job summary

Medpace is seeking a full-time, office-based Statistical Analyst to join our Global Statistics team in the UK. The role involves supporting analyses for global studies and collaborating with statisticians and programmers to deliver high-quality study outputs.

The ideal candidate holds a Master’s in Statistics or Biostatistics, has strong communication skills, and can apply innovative programming techniques. SAS experience or certification is preferred.

Qualifications

• Master’s Degree in Statistics or Biostatistics.
• Good communication skills.
• Willingness to apply innovative programming techniques to solve critical problems.
• Can adapt and respond to requests from across the business while being aware of impact of response.
• SAS programming experience and/or SAS Base Programming Certificate.

Responsibilities

• Support analysis for global studies.
• Review analysis plans for appropriate methods.
• Collaborate with Project Statistician and other analysts to ensure high-quality outputs.
• Assist in generation of specification documents for derived datasets (e.g., ADaM) and tables/listings/figures.
• Use efficient programming techniques to produce and QC derived datasets and related outputs.

Skills

Good communication skills

Innovative programming techniques

Adaptability across business requests

Education

Master’s Degree in Statistics or Biostatistics

Tools

SAS

Job description

Medpace is seeking a full-time, office-based Statistical Analyst to join our Global Statistics team in the UK. The role involves supporting analyses for global studies and collaborating with statisticians and programmers to deliver high-quality study outputs.

The ideal candidate holds a Master’s in Statistics or Biostatistics, has strong communication skills, and can apply innovative programming techniques. SAS experience or certification is preferred.