Clinical R&D Technology Manager

Position Overview: We are seeking a Clinical R&D Technology Architecture Manager to design and support secure, scalable, and compliant technology solutions for clinical research, data management, statistical computing, and scientific analytics. This role partners with Clinical Operations, Biostatistics, Data Science, Translational Medicine, and IT teams to translate business requirements into effective technology solutions. Responsibilities include solution architecture, cloud infrastructure, platform lifecycle management, vendor coordination, system validation, and regulatory compliance.

Key Responsibilities: Design and maintain technology architecture solutions, standards, and roadmaps supporting Clinical R&D platforms. Lead technical planning for platform implementations, upgrades, integrations, migrations, and modernization initiatives. Support cloud, hybrid, and on-premises infrastructure, partnering with cybersecurity and infrastructure teams on security, performance, and resilience. Support clinical data platforms, statistical computing environments, analytics solutions, and AI/ML initiatives. Ensure compliance with applicable GxP/GCP, computer system validation (CSV), data integrity, privacy, and cybersecurity requirements. Coordinate vendors and managed service providers, reviewing technical designs, deliverables, service quality, and compliance. Identify and mitigate technical and operational risks while supporting system reliability and business continuity. Collaborate with business and IT stakeholders to communicate technical recommendations, manage project dependencies, and support technology roadmaps.

Required Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, Life Sciences, or a related field. Minimum of five years of relevant experience in solution architecture, platform architecture, enterprise applications, or clinical/scientific computing. Experience designing cloud-based, hybrid, and integrated enterprise solutions. Knowledge of clinical research processes, statistical computing, and regulated technology environments. Experience with GxP/GCP, system validation, data integrity, privacy, cybersecurity, and audit readiness. Strong project coordination, vendor management, analytical, communication, and problem-solving skills.

Preferred Qualifications: Advanced degree in a relevant technical, scientific, or business discipline. Experience with AWS, clinical data platforms, SAS/SAS Viya, statistical computing, data engineering, AI/ML, or analytics technologies. Experience with cloud transformation, application modernization, platform migrations, or enterprise architecture initiatives. Familiarity with Agile, DevSecOps, and IT service management practices. Background in pharmaceutical, biotechnology, or life sciences environments supporting Clinical R&D.