Jobs at IQVIA

The role involves leading client engagements, developing business opportunities, and ensuring high client satisfaction by delivering strategic solutions in pharmaceutical market research.

Lead day-to-day product execution for Provider Solutions, translating strategy into roadmaps, PRDs, and measurable outcomes. Partner with engineering, data, design, and commercial teams to prioritize initiatives, define success metrics, manage delivery, and support go-to-market readiness to improve provider decision-making and operational performance.

Lead product strategy, roadmap, and delivery for personalization and audience products that turn clinical and behavioral data into scalable, SaaS-based targeting and engagement solutions. Partner with engineering and data science to operationalize identity resolution, predictive models, and real-time triggers. Drive customer validation, go-to-market, and cross-functional alignment while ensuring privacy, compliance, and measurable client outcomes.

Oversee site monitoring and management, ensure compliance with protocols, and facilitate recruitment and training for clinical studies.

Responsible for site monitoring and management in oncology clinical trials, ensuring compliance with protocols and regulations while managing site relationships and documentation.

The Clinical Research Associate will monitor clinical sites for adherence to protocols, ensure data integrity, manage communications, and oversee regulatory compliance throughout clinical trials.

Lead and oversee software quality engineering for web and digital products. Provide technical leadership, define team objectives, ensure QA processes, compliance, automation, and code quality. Hire and mentor engineers, partner with Product and Delivery, remove blockers, and balance delivery speed with long-term stability and scalability.

The CRA I supports clinical research by monitoring sites, ensuring compliance with regulations, and maintaining communication with investigative sites. Responsibilities include site visits, protocol training, and documentation preparation.

Lead architecture and delivery of end-to-end AI/ML solutions for a MediaOS platform: personalization, recommendation, targeting, forecasting, scalable ML pipelines, cloud-native distributed systems, MLOps, secure AI, and mentorship of engineers and data scientists.