Global Statistical Analyst (London) - Flexible Growth Path

Medpace; Greater London; Presencial; GBP 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work environment

Competitive compensation and benefits

Structured career paths with growth

Company-sponsored employee events

Employee health and wellness

Industry recognition awards

Descripción de la vacante

Medpace in London is seeking a full-time, office-based Statistical Analyst to join our Global Statistics team. The role supports global studies, collaborates with the Project Statistician, and ensures high-quality outputs on schedule.

Ideal candidates hold a Master’s Degree in Medical Statistics or Biostatistics and have SAS programming experience. Strong communication and a proactive, problem-solving approach are essential to succeed.

Formación

• Master’s Degree in Medical Statistics, Statistics or Biostatistics.
• SAS programming experience and/or SAS Base Programming Certificate.
• Good communication skills and problem-solving mindset.

Responsabilidades

• Support analysis for global studies.
• Review analysis plans for appropriate methods.
• Collaborate with Project Statistician and other Statistical Analysts and Programmers to ensure study outputs are produced to a high quality and in a timely fashion.
• Assist in generation of specification documents for derived datasets (e.g., ADaM) and tables, listings and figures; and
• Use efficient programming techniques to produce and/or QC derived datasets (e.g. ADaM) and tables, listings and figures according to specifications.

Conocimientos

Good communication

Innovative programming

Adaptability

Educación

Master’s Degree in Medical Statistics, Statistics or Biostatistics

Herramientas

SAS programming

SAS Base Programming Certificate

Descripción del empleo

Medpace in London is seeking a full-time, office-based Statistical Analyst to join our Global Statistics team. The role supports global studies, collaborates with the Project Statistician, and ensures high-quality outputs on schedule.

Ideal candidates hold a Master’s Degree in Medical Statistics or Biostatistics and have SAS programming experience. Strong communication and a proactive, problem-solving approach are essential to succeed.