Job Description

Job Description: Quality Assurance Manager Location: Madhapur, Hyderabad Employment Type: Full-Time Job Summary The Quality Assurance Manager will oversee quality assurance processes for our clinical trial software and AI systems, ensuring compliance with global regulatory requirements, including USFDA (21 CFR Part 11), GDPR, HIPAA, ICH-GCP, ISO 90001 & 27001 and other relevant standards. This role requires deep expertise in Computer System Validation (CSV). With 10+ years of experience, the ideal candidate will lead a QA team, collaborate with cross-functional groups, and drive continuous improvement to deliver reliable, compliant, and innovative solutions. Key Responsibilities of a Quality Assurance Manager Regulatory Compliance Ensure software and AI systems comply with USFDA (21 CFR Part 11, 820), GDPR, HIPAA, ISO 13485, and other global standards. Stay updated on evolving healthcare AI regulations and integrate them into QA practices. Prepare for and support audits by regulatory bodies, clients, and third parties. Computer System Validation (CSV) Lead development and maintenance of CSV protocols (IQ, OQ, PQ) for software and AI systems. Ensure validation documentation aligns with GxP standards and is audit-ready. Collaborate with IT and development teams on system updates and new features. QA Strategy & Leadership Develop and implement QA strategies using risk-based validation approaches. Manage and mentor QA teams, fostering a quality-focused culture. Monitor KPIs for software and AI quality and compliance. Process Improvement Create and maintain SOPs for QA, CSV, and AI validation. Conduct root cause analysis and implement CAPAs. Drive initiatives to improve system performance, security, and reliability. Cross-Functional Collaboration Partner with product, development, and AI teams to integrate quality into the SDLC. Translate client and stakeholder requirements into actionable QA plans. Support implementation and post-deployment activities to ensure satisfaction. Risk Management Conduct risk assessments per ISO 14971 and ICH Q9, addressing AI-specific risks (e.g., model bias). Mitigate risks related to data integrity, security, and compliance. Training & Documentation Provide training on QA, CSV, AI validation, and compliance. Maintain thorough documentation of validation activities, audit trails, and quality records. Qualifications Minimum of 10+ years of experience in quality assurance, with at least 5 years in a managerial role within a clinical trial software, CRO, Pharma, Biotech, or Medtech environment. Extensive experience with Computer System Validation (CSV) in a regulated industry. Proven track record of managing QA for software used in global clinical trials. Education: Bachelor's degree in Life Sciences or a related field. Advanced degree (e.g., Masters) or certifications (e.g., ASQ CQA, ISTQB, Six Sigma) preferred. Technical Skills: In-depth knowledge of USFDA regulations (21 CFR Part 11, Part 820), GDPR, HIPAA, ICH-GCP, and ISO standards (e.g., 13485, 14971), including AI-specific guidelines. Proficiency in CSV methodologies and tools (e.g., GAMP 5 framework). Familiarity with clinical trial software platforms (e.g., EDC, IWRS, eTMF, CTMS) and AI-driven solutions in clinical research. Soft Skills: Strong leadership and team management abilities. Excellent problem-solving, analytical, and decision-making skills. Exceptional communication skills, with the ability to liaise with technical teams, AI specialists, regulators, and clients. Detail-oriented with a proactive approach to quality and compliance. Why Join Us? Impactful Work : Contribute to cutting-edge AI-enabled solutions that accelerate clinical trials and improve global healthcare outcomes. Innovative Culture : Be part of a dynamic team that embraces new ideas, challenges the status quo, and drives innovation. Growth Opportunities : Access professional development opportunities in a rapidly growing company committed to employee success. Work-Life Balance : Enjoy a supportive work environment with flexible work arrangements.