Psychometric Properties Data Integrity Analyst

🕒 September 1

🌐 Brazil, Argentina – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 56%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 74 days.
• Jobs at this company usually fill in 23 days.
• Reposted 3 times.
• No salary listed.

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IQVIA

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏭 Manufacturing

📣 Marketing

💰 $1G Post-IPO Debt on 2023-05

Consulting • Manufacturing • Marketing

IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.

📋 Description

• Identify and review publications containing psychometric evidence related to Clinical Outcome Assessments (COAs) • Extract and enter psychometric data into the COAA platform following established work instructions • Create, update, and maintain psychometric properties records • Perform quality control checks to ensure data accuracy, consistency, and traceability • Support ongoing maintenance activities for client subscriptions and internal initiatives • Collaborate with COAA content teams and subject matter experts to resolve data issues and improve data quality

🎯 Requirements

• Bachelor's degree in Psychology, Life Sciences, Public Health, Health Outcomes Research, or a related field • Experience reviewing scientific literature and working with structured data • English fluency • Knowledge of Clinical Outcome Assessments (COAs), psychometrics, or outcomes research is mandatory • Strong attention to detail and organizational skills • Excellent data quality and ability to interpret scientific publications • Proficiency with Microsoft Excel and data management tools • Effective written and verbal communication skills • Ability to work independently and collaboratively • Resume/CV must be submitted in English

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