Manager, COA Scoring Delivery – Operations

🔥 6 minutes ago

🌐 Portugal, Greece, +2 more countries – Remote

🇵🇹 Portugal – Remote 🇬🇷 Greece – Remote 🇪🇸 Spain – Remote 🇭🇺 Hungary – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Engage with clients and internal study teams to assess scoring needs, intended use of scores, study-specific requirements, timelines, data flows, and delivery constraints • Evaluate scoring methodologies and delivery options and advise clients and internal stakeholders on the appropriate approach • Serve as the client-facing point of contact throughout scoring delivery • Own operational delivery of COA scoring implementations from confirmed request through requirements, test dataset development, algorithm implementation, validation, quality assurance, release, and client hand-off • Manage a structured, multi-stage scoring pipeline with multiple instruments and studies progressing in parallel • Identify and manage delivery risks • Provide status updates, delivery forecasts, risk statements, and recovery plans to clients and internal stakeholders • Work with scientific and technical teams to implement AI-enabled and automated workflows across scoring requirements, test dataset generation, algorithm ingestion, and release documentation

🎯 Requirements

• Degree in Life Sciences, Business, Operations, Project Management, or related field • At least 5 years of relevant experience in consulting, project delivery, programme operations, product operations, clinical or data operations, scientific operations, or a comparable process-heavy environment • Ability to assess internal and external customer needs, structure complex problems, and translate requirements into a practical delivery approach • Experience building trusted client relationships, advising clients, and managing client expectations throughout delivery • Experience managing structured, multi-stage production pipelines with frequent hand-offs and multiple items progressing simultaneously • Strong project management, organisational, prioritisation, and problem-solving skills • Excellent written and oral communication skills, including explaining technical or scientific considerations clearly and communicating delivery status and risks to clients and senior stakeholders • Strong attention to detail and documentation discipline • Experience working in regulated, validated, audit-sensitive, or quality-controlled environments • Proficiency in Excel and PowerPoint • Ability to work independently in a remote environment and collaborate across global teams • Fluency in English • Knowledge of Clinical Outcome Assessments, patient-reported outcomes, scoring algorithms, or instrument implementation will be advantageous • Familiarity with statistical programming or data workflows using SAS, R, APIs, or structured test datasets is an advantage • Experience developing or improving SOPs, templates, checklists, workflow controls, or other standardized operational processes • Prior experience leveraging AI tools and automation for work is preferred but not required