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Position: Statistical Analyst
Institution: Medpace, Inc.
Location: London, United Kingdom
Duties: 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; and; Collaboration with Global Statistics team members and programmers to ensure study outputs are produced to a high quality and in a timely fashion
Requirements: 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; and; Knowledge of advanced programming methods
   
Text: Statistical Analyst 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; and; Collaboration with Global Statistics team members and programmers to ensure study outputs are produced to a high quality and in a timely fashion 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; and; Knowledge of advanced programming methods.
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