Senior Pk Analyst

Parexel

Meira

Remote

EUR 45,000 - 65,000

Full time

13 days ago

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Job summary

Parexel is seeking a Clinical Monitoring Analyst (Cluepoints) to join a remote, sponsor-delivered project. The role emphasises programming and maintenance of the Centralized Monitoring platform, working closely with the client to ensure CM deliverables align with the CMP.

Strong SAS skills and excellent communication are essential, with the ability to support the CM Lead and contribute to QTLs, KPIs, and data visualizations across the study scope.

Qualifications

  • Experience with SAS programming and data analysis.
  • Excellent communication and organisational skills.
  • Familiarity with Centralized Monitoring processes and CMPs.

Responsibilities

  • Setup, programming and refreshes of the Centralized Monitoring platform per the CMP.
  • Support the Centralized Monitoring Lead in developing CM strategy and CM elements for the study.

Skills

SAS programming
Strong communication
Organisational skills

Tools

Cluepoints CMA platform

Job description

Clinical Monitoring Analyst (Cluepoints) - Remote

London, United Kingdom
Budapest, Hungary
Reading, Berkshire, United Kingdom
Bloemfontein, South Africa
Dublin, Ireland
Centurion, South Africa
Barcelona, Spain
Sofia, Bulgaria
Madrid, Spain
Full time
R
This unique role within IQVIA lends itself to a Lead programmer on Cluepoints called Centralized Monitoring Analyst (CMA) with strong communication and organisation skills. Having experience with SAS programming is necessary.
This role is part of a sponsor dedicated project where you will be working with the client directly to manage deliveries.
The CMA contributes to the execution of the Centralized Monitoring process by performing the setup, programming and refresh(es) of the Centralized Monitoring platform, according to the study-specific Centralized Monitoring Plan (CMP).

Main responsibilities include:

  • Supports the Centralized Monitoring Lead (CML) in the development of the fit-for purpose CM strategy by contributing to the identification of the relevant CM elements to be implemented for the study (Quality Tolerance Limits (QTL), Key Risk Indicators, data visualizations and Data Quality Assessments
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