Senior QA Analyst, AI Solutions

🔥 13 minutes ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 15%

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Sword Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

Healthcare • SaaS • Artificial Intelligence

Sword Health is a digital health company offering an AI Care platform that combines artificial intelligence with licensed clinicians to provide virtual care primarily for musculoskeletal (MSK) pain, women's health, cardiometabolic health, and mental health. Their platform includes AI-driven digital physical therapy for pain (Thrive), women's health program (Bloom), cardiometabolic program (Pulse), mental health support (Mind), and Predict, an AI engine to identify members at high risk for avoidable surgeries. Sword sells to employers, health plans, unions, consultants & brokers, and individuals, focusing on measurable cost savings, surgical avoidance, and improved clinical outcomes. They emphasize security, privacy, and clinical evidence with peer-reviewed studies and validated ROI.

📋 Description

• Ensure AI agents perform consistently before and after going live • Monitor performance across different healthcare environments and languages • Liaise with the clinical team to create protocols and identify clinically relevant parameters to monitor • Establish quality standards for AI systems • Fix underlying prompt logic and reasoning chains • Create testing methods to prevent recurring issues • Develop testing approaches for intelligent and adaptive systems • Build testing frameworks across healthcare scenarios • Define acceptable quality levels for AI in healthcare • Manage compliance with MDR and AI Act requirements with the compliance team • Document quality processes and verification and validation procedures for regulatory submissions • Help ensure algorithm accuracy and mitigate bias • Work with compliance teams to achieve and maintain certification of relevant algorithms • Help establish industry standards for AI quality assurance • Develop expertise in AI healthcare testing methodologies

🎯 Requirements

• Comfortable speaking and understanding English (doesn't need to be perfect) • 2-6 years of experience in QA, testing, or analytical roles • Strong analytical and problem-solving skills • Comfortable learning new technologies and methodologies • Curious about the evolving AI landscape • Familiarity with secure handling of health data (GDPR, HIPAA) • Experience with medical device regulations (MDR, 21 CFR 820, ISO 13485, IEC62304) • Comfortable speaking and understanding Portuguese • Experience with AI tools or prompt engineering • Background in healthcare, enterprise software, or regulated industries • Familiarity with quality metrics and monitoring systems • Basic programming or scripting experience • Demonstrate at least Level 1 AI proficiency

🏖️ Benefits

• Sword offers additional benefits beyond total compensation; country-specific benefits may vary and will be detailed separately. • Variable compensation, bonuses, or sales incentives may apply as part of total compensation. • Private company stock options may apply as part of total compensation. • Compensation is adjusted based on skills, qualifications, experience, location, market demand, and impact.

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