Philips

1 day ago

Non-Product Software Validation Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Develop and maintain validation plans, protocols, scripts, and reports for computerized systems and AI/machine learning validation. You’ll verify software meets user and functional requirements, conduct risk assessments to define validation scope, and evaluate system changes for validation impact. Ensure compliance with regulatory and industry standards, support CAPAs for computerized systems, and drive continuous improvement within the validation program.

Location: Panama

Workplace: Hybrid

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Develop, review, and/or approve validation plans, protocols, scripts, and reports for computerized systems and AI/machine learning validation.
•Create and maintain validation documentation in line with established procedures and quality standards.
•Verify software systems meet user requirements, functional requirements, functional specifications, and intended use.
•Conduct risk assessments to determine validation scope and testing requirements, applying risk-based validation principles.
•Ensure compliance with regulatory requirements and internal procedures, support CAPAs for computerized systems, and contribute to continuous improvement initiatives.

Key Requirements

•Minimum 2 years of experience with a Bachelor’s degree, or 1 year with a Master’s degree, in Quality Management Systems, Quality Audits, Computerized Systems Validation, or related areas in highly regulated industries.
•Strong knowledge of regulatory requirements, Quality Management Systems (QMS), and risk-based validation methodologies.
•Technical writing, data analysis, project management, and process improvement skills.
•Bachelor’s or Master’s degree in Engineering, Science, or a related field.
•Experience working in regulated environments with familiarity with AI/machine learning validation concepts and strong attention to detail.

Experience:2+ yearsRegulated environmentsMedical DevicesPharmaceuticalsAutomotiveAI/machine learningComputerized Systems ValidationQuality Management Systems (QMS)

Education:Bachelor's in Engineering, Science, or related field

Skills:Technical writingData analysisProject managementProcess improvementAttention to detailCollaboration

Tech Stack:AI/Machine LearningComputerized Systems ValidationQMSCAPAs

Company Brief

Philips

Global health technology company focusing on diagnostic imaging, patient monitoring, and consumer health products. Philips develops medical devices, healthcare informatics, and solutions to improve patient care and personal well-being.

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 1891

Glassdoor: 3.8

Website LinkedIn

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Philips

1 day ago

Non-Product Software Validation Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Panama

Workplace: Hybrid

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Develop, review, and/or approve validation plans, protocols, scripts, and reports for computerized systems and AI/machine learning validation.
•Create and maintain validation documentation in line with established procedures and quality standards.
•Verify software systems meet user requirements, functional requirements, functional specifications, and intended use.
•Conduct risk assessments to determine validation scope and testing requirements, applying risk-based validation principles.
•Ensure compliance with regulatory requirements and internal procedures, support CAPAs for computerized systems, and contribute to continuous improvement initiatives.

Key Requirements

•Minimum 2 years of experience with a Bachelor’s degree, or 1 year with a Master’s degree, in Quality Management Systems, Quality Audits, Computerized Systems Validation, or related areas in highly regulated industries.
•Strong knowledge of regulatory requirements, Quality Management Systems (QMS), and risk-based validation methodologies.
•Technical writing, data analysis, project management, and process improvement skills.
•Bachelor’s or Master’s degree in Engineering, Science, or a related field.
•Experience working in regulated environments with familiarity with AI/machine learning validation concepts and strong attention to detail.

Experience:2+ yearsRegulated environmentsMedical DevicesPharmaceuticalsAutomotiveAI/machine learningComputerized Systems ValidationQuality Management Systems (QMS)

Education:Bachelor's in Engineering, Science, or related field

Skills:Technical writingData analysisProject managementProcess improvementAttention to detailCollaboration

Tech Stack:AI/Machine LearningComputerized Systems ValidationQMSCAPAs

Company Brief

Philips

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 1891

Glassdoor: 3.8

Website LinkedIn