Associate Director, Global Medical Affairs

About the Role

Do you bring the engineering judgement to turn complex Medical Affairs opportunities into working digital, data, analytics, and AI solutions? Can you embed directly with business teams, move rapidly from problem framing to proof of concept, and then engineer successful solutions for secure, compliant production use at scale?

As Senior Principal Engineer for Global Medical Affairs Digital & Tech, you will work side by side with Medical Affairs leaders, product teams, data scientists, engineers, and end users to build solutions that improve Measurement, Analytics and Insights. Unlike a role focused only on PoCs and MVPs, this position owns the path from discovery and rapid validation through production deployment, adoption, scaling, and continuous improvement.

You will focus on high-value opportunities across Data Generation, Scientific Communications, Medical Information, and MSL Engagement. The outcome is not slideware or isolated pilots. It is working, trusted software and analytics that are used in real workflows and deliver measurable Medical Affairs value.

Why This Role Exists

• Global Medical Affairs needs engineers who can close the gap between business questions, scientific workflows, fragmented data, and scalable technology. This role combines deep customer embedding, rapid engineering, production accountability, and reusable platform thinking so that promising ideas become durable capabilities.

• Proves value quickly — frames priority problems and delivers PoCs, PoVs, and MVPs at pace using real data and workflows.

• Takes solutions to production — engineers validated concepts for secure, reliable, compliant, and supportable use.

• Scales what works — expands successful products across therapy areas, regions, teams, and use cases while creating reusable patterns.

• Improves decisions and impact — builds Measurement, Analytics and Insights solutions that help Medical Affairs understand performance, identify opportunities, and act.

• Oversee Strategic partners – work directly with GSK Tech strategic partners and their engineering teams to ensure solutions are designed, engineering and can be supported in production

• environments.

Key Responsibilities

Embedded Discovery, Prototyping and Value Validation

• Embed with Medical Affairs teams to understand scientific and operational workflows, decision points, user needs, data constraints, and measures of value.

• Own high-priority use cases from problem framing through PoC, PoV, and MVP, using short delivery cycles and direct user feedback.

• Prototype against representative data and real workflows, testing desirability, feasibility, usability, data quality, and business value before material investment.

• Form and defend evidence-based continue, pivot, or stop recommendations with clear implications for investment and scale.

Production Engineering and Scale

• Own the transition from validated MVP to production, including architecture, engineering, integration, testing, security, controls, deployment, observability, documentation, and support readiness.

• Build reliable, maintainable solutions that meet GSK Digital and Tech requirements for privacy, quality, compliance, performance, resilience, and user experience.

• Scale successful solutions across therapy areas, regions, and Medical Affairs functions by designing configurable components, reusable services, data products, and reference architectures.

• Establish product measures and production telemetry to track adoption, service performance, decision impact, realised value, and opportunities for continuous improvement.

• Address technical debt and production issues pragmatically, balancing speed with long-term sustainability and total cost of ownership.

Measurement, Analytics and Insights Solutions

• Data Generation: build data and analytics products that improve visibility across evidence planning, study execution, evidence generation, data quality, analysis, and reporting.

• Scientific Communications: develop measurement and insight capabilities across medical writing, publications, congress activity, content development, scientific dissemination, reach, engagement, and impact.

• Medical Information: create analytics and AI-enabled solutions that identify inquiry trends, knowledge gaps, response performance, content needs, and emerging scientific questions while supporting accurate and compliant operations.

• MSL Engagement: build solutions that strengthen planning and measurement of scientific exchange, stakeholder engagement, field insights, content use, follow-up, and the translation of field observations into actionable Medical Affairs insights.

• Cross-functional impact measurement: connect data across these domains to create trusted metrics, dashboards, analytical products, and decision-support experiences that demonstrate Medical Affairs value and identify where action is needed.

AI-Native Engineering

• Use AI coding assistants and agent-based workflows for planning, coding, testing, review, documentation, and operational support, applying human judgement and validation throughout.

• Apply GenAI, machine learning, natural language processing, knowledge retrieval, and advanced analytics where they are appropriate to the problem and evidence supports their use.

• Design human-in-the-loop controls, evaluation approaches, and monitoring so AI-enabled capabilities remain accurate, explainable, responsible, and fit for Medical Affairs use.

Partnership, Governance and Reuse

• Partner with Medical Affairs Digital & Tech Product Directors, Enterprise Data and AI, architecture, Cyber Security, Quality, Privacy, Legal, Compliance, and shared engineering services.

• Embed security, privacy, quality, records, Responsible AI, and regulatory requirements from discovery through production rather than treating governance as a late-stage gate.

• Distil each engagement into reusable code, data models, agents, prompts, evaluatio