Statistical Analyst (Experienced, SAS)

Medpace; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job description

Job Summary

Due to continuous business growth, we are expanding our Global Biostatistics team, and looking for an experienced Statistical Analyst to join our UK team in London, Stirling or home-based.

This role is responsible for leading the Biostatistics activities for multiple complex clinical trial projects, working directly with the client and collaborating with other departments and Clinical Trial Management team, operating in a leadership position and representing the Biostatistics department at client meetings.

This position will work in a team to accomplish tasks and projects that are instrumental to the company’s success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.

Responsibilities

• Development of detailed Medpace Data Analysis Plan for assigned projects;
• Development of analysis databases;
• Communication of project requirements for CRF design, database design, and database clean-up to ensure the key study variables are suitable for analysis;
• Programming of study analysis, review of study results, and preparation of statistical methods section for clinical/statistical reports, and related regulatory submission documents;
• Communication of statistical results to medical writing personnel to ensure accurate interpretation;
• Collaboration with Global Statistics team members and programmers to ensure study outputs are produced to a high quality and in a timely fashion.

Qualifications

• Master’s Degree in statistics, biostatistics, or equivalent areas and strong relevant industry or equivalent experience;
• SAS Programming experience;
• Excellent communication and leadership skills;
• Familiarity with regulatory requirements/guidelines for data submission and analysis;
• Expertise in biostatistical methodologies applicable to Clinical Trials;
• Knowledge of advanced programming methods.