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Expert Quality Engineer

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: SWORD Health
Full Time position
Listed on 2025-12-21
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Each year, 2 billion people worldwide are limited by physical pain. SWORD allows members to complete personalized physiotherapy from the comfort of home, with ongoing support and supervision from our team of licensed clinicians. Our approach is clinically proven to be more effective than conventional care delivery models, consistently delivering best-in-class outcomes.

SWORD partners with insurers, health systems, and employers across the U.S., Canada, Europe, and Australia to make high-quality musculoskeletal care accessible to everyone. Our clients include some of the most forward-thinking Fortune 100 and 500 companies globally.

This is an exciting opportunity to join SWORD during a period of hyper-growth and expansion. Following our recent $4B valuation, we’re scaling our impact with high-caliber individuals who bring passion, commitment, and energy to create and deliver technologies, services, and products that advance human health.

Join us to make a difference at scale, working alongside a global team of innovators pioneering the future of healthcare.

Sword Health is an AI health company that provides care programs for multiple conditions, from musculoskeletal, to women’s health, to mental health. Our medical devices serve an essential role in ensuring care quality and safety. As part of our ongoing commitment to excellence, we are seeking a talented and detail-oriented Expert Quality Engineer (Software & AI-focused). You will play a crucial role in ensuring the quality and regulatory compliance of our AI-powered SaMD products.

You will collaborate with cross-functional teams, including software development, regulatory affairs, and quality assurance, to uphold the highest standards of safety and effectiveness. You will apply your core skills across a range of deployment platforms such as mobile applications, cloud services, edge devices and AI platforms. You will have an opportunity to work across a variety of therapeutic areas and operating room safety and efficiency.

What

you’ll do (Quality for AI/SaMD)
  • Be the QA point of contact for our AI and Tech teams, helping them ship AI-enabled software that is compliant without slowing delivery.
  • Translate standards and regulations into clear, usable expectations across the development lifecycle (templates, checklists, review gates).
  • Maintain and review audit-ready evidence for software/AI development
  • Support AI specific governance
  • Support change control, defect management, and SOUP/third-party components with risk-based documentation and testing expectations.
  • Contribute to CAPAs and investigations: help structure root cause analysis, define actions, and ensure effectiveness checks are meaningful.
  • Participate in internal and supplier audits, support teams in preparation for external audits, and act as the software & AI subject matter expert during audits and inspections from Competent Authorities or Notified Bodies.
  • Provide training to internal teams on SW and AI-specific quality and regulatory requirements. Collaborate effectively with cross-functional teams and serve as the subject matter expert on software & AI quality processes and compliance.
Required Qualifications and Experience
  • 4-6 years in QARA / Quality / Compliance supporting software products in a regulated or quality-driven environment (SaMD/digital health strongly preferred).
  • You work comfortably with engineering artifacts and workflows: requirements, tickets, test evidence, release notes, risk controls, and traceability.
  • Hands‑on experience with the requirements of: ISO 13485, IEC 62304, ISO 14971.
  • You review V&V evidence and spot gaps: requirements coverage, test rationale, pass/fail clarity, and traceability completeness.
  • You write clearly and structure documentation well: you create content engineers will actually use.
  • Fluent in English.
Nice to have
  • Exposure to AI/ML development concepts (datasets, splits, evaluation metrics, drift/monitoring basics) to be able to challenge assumptions.
  • Awareness of IEC 82304-1, cybersecurity lifecycle expectations (e.g., IEC 81001-5-1), SBOM/vulnerability management concepts.
  • Internal auditor certification.
  • Experience with Agile, Jira/Confluence, and working…
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