Requirements Summary

The ideal candidate will have a strong background in data analysis, data surveillance methods, and proficiency in relevant software and technologies

Benefits

Education

Bachelor's degree

Full Job Description

Role Overview The Data Surveillance Analyst is responsible for analyzing scientific and operational data to support the Data Surveillance process and reviewing project-specific Quality Tolerance Limits. They assist in developing Data Surveillance Plans (DSPs) and conduct defined project reviews. What You Will Do Key responsibilities include developing Data Surveillance Plans, configuring and maintaining Data Surveillance technologies, reviewing relevant data, documenting findings, and providing feedback to technology teams. Why It Might Be a Fit The ideal candidate will have a comprehensive knowledge of Parexel RBQM processes and data surveillance methods, familiarity with centralized monitoring and Data Driven Monitoring practices, and proficient data analysis skills. Requirements Comprehensive knowledge of Parexel RBQM processes and data surveillance methods Familiarity with centralized monitoring and Data Driven Monitoring practices Proficient in data analysis, trend identification, and issue triage Basic understanding of SDTM domains and data operations concepts Basic SAS programming skills Proficient in relevant software: CTMS, EDMS, MS Office, and Parexel-specific technologies Client-focused with strong quality orientation Effective in matrix and global virtual team environments Excellent interpersonal and communication skills, including presentation abilities Strong time management and multitasking capabilities Ability to work independently with minimal supervision Benefits Dental insurance Vision insurance Health insurance Life insurance Paid time off Retirement plan Learning budget Parental leave Wellness programs Visa sponsorship available Relocation assistance

Skills and Technologies