Assistant Statistician: Health Outcomes & Meta-Analysis

RTI Health Solutions; Manchester; On-site; GBP 28,000 - 36,000; Full time

Job summary

RTI Health Solutions is seeking an Assistant Statistician in Manchester for a 12-month UK-based contract. You will support statistical analyses and evidence generation for pharmaceutical clients, develop analysis plans, and contribute to scientific publications.

The role offers exposure to meta-analysis, network meta-analysis, survival analysis and utility assessment, with opportunities to publish and present findings.

Qualifications

• An undergraduate or advanced degree in mathematics, statistics, biostatistics, or a related field.
• Coursework in or experience performing statistical analyses that demonstrate strong quantitative aptitude.
• Programming experience with R or similar statistical software.
• Knowledge of fundamental statistical concepts, including statistical inference, regression, probability, and distributions.

Responsibilities

• Develop statistical analysis plans, prepare analysis datasets, conduct analyses and contribute to study reports.
• Support delivery of high-quality scientific projects within timelines and budgets.
• Contribute to abstracts, posters, manuscripts and other scientific publications.
• Support development of client proposals and other business development activities.
• Learn and apply new statistical methods while developing programming skills in R and other software.
• Collaborate with statisticians, health economists, and literature review specialists.

Skills

R programming

Statistical analysis

Meta-analysis

Scientific communication

Education

Bachelor's degree in mathematics, statistics, biostatistics, or related field

Tools

R

WinBUGS/OpenBUGS/JAGS

SAS/STATA

Job description

RTI Health Solutions is seeking an Assistant Statistician in Manchester for a 12-month UK-based contract. You will support statistical analyses and evidence generation for pharmaceutical clients, develop analysis plans, and contribute to scientific publications.

The role offers exposure to meta-analysis, network meta-analysis, survival analysis and utility assessment, with opportunities to publish and present findings.