Principal Engineer - Medical Affairs Digital Tech

Job description

About the Role Do you enjoy turning Medical Affairs opportunities into practical digital, data, analytics, and AI solutions? Can you work closely with business and technical teams, learn complex workflows, and contribute to rapid prototypes and production-ready capabilities? As a Principal Engineer for Global Medical Affairs Digital & Tech, you will partner with product teams, data scientists, and GSK Strategic Partner engineering resources to lead the design and delivery of solutions that improve Medical Affairs Data Generation, Scientific Communications, Medical Information, MSL Engagement, and Insights. You will work with substantial autonomy from discovery and rapid validation through production deployment, adoption, and continuous improvement, while guiding technical decisions and supporting less experienced colleagues. The focus is on building working, trusted software and analytics that fit real workflows and deliver measurable Medical Affairs value. Why This Role Exists Global Medical Affairs needs experienced, hands-on engineers who can connect business questions, scientific workflows, fragmented data, and scalable technology. This role combines customer collaboration, rapid engineering, production ownership, and reusable platform thinking, with accountability for technical direction, delivery quality, and measurable outcomes. Proves value quickly — frames priority problems and leads PoCs, PoVs, and MVPs using real data and workflows. Owns production delivery — engineers validated concepts for secure, reliable, compliant, and supportable use. Builds for reuse — designs components and patterns that can be adapted across therapy areas, regions, teams, and use cases. Improves decisions and impact — develops solutions that help Medical Affairs understand performance, identify opportunities, and act. Leads effectively with partners — coordinates with GSK Tech strategic partners and engineering teams, sets clear technical expectations, and ensures solutions can be supported in production. Key Responsibilities Embedded Discovery, Prototyping and Value Validation Lead discovery with Medical Affairs teams to understand scientific and operational workflows, user needs, data constraints, technical dependencies, and measures of value. Lead priority use cases from problem framing through PoC, PoV, and MVP using short delivery cycles, direct user feedback, and clear technical hypotheses. Design and build prototypes with representative data and real workflows, evaluating feasibility, usability, data quality, architecture, risk, and potential business value. Synthesize findings and make evidence-based recommendations to continue, pivot, or stop, clearly communicating trade-offs to product, business, and technical leaders. Production Engineering and Scale Own the transition from validated MVP to production, including solution design, engineering, integration, testing, security, deployment, monitoring, documentation, and support readiness. Design and deliver reliable, maintainable solutions that meet established GSK Digital and Tech requirements for privacy, quality, compliance, performance, resilience, and user experience. Define and develop configurable components, reusable services, data products, and patterns that support expansion across Medical Affairs teams and use cases. Define product measures and implement production telemetry to track adoption, service performance, data quality, value realization, and opportunities for improvement. Lead investigation of defects and technical debt, resolve complex implementation decisions, and balance delivery speed with maintainability and operational risk. Medical Affairs Solutions Data Generation: lead engineering contributions to products that improve visibility across evidence planning, study execution, evidence generation, data quality, analysis, and reporting. Scientific Communications: design and deliver digital, AI, and technology capabilities across medical writing, publications, congress activity, content development, scientific dissemination, reach, engagement, and impact. Medical Information: lead development of AI-enabled features that identify inquiry trends, knowledge gaps, response performance, content needs, and emerging scientific questions while supporting accurate and compliant operations. MSL Engagement: design solutions that strengthen planning, engagement, and measurement of scientific exchange, stakeholder engagement, field insights, content use, and follow-up. Cross-functional impact measurement: connect data across these domains to create trusted dashboards, analytical and insight products, and decision-support experiences. AI-Native Engineering Champion approved AI coding assistants and agent-based workflows for coding, testing, review, documentation, and operational support, applying rigorous human judgement and validation throughout. Select and apply GenAI, machine learning, natural language processing, knowledge retrieval, and analytics patterns appropriate to the problem and aligned with established architecture. Design human-in-the-loop controls, evaluation frameworks, and monitoring so AI-enabled capabilities remain accurate, explainable, responsible, and fit for Medical Affairs use. Basic Qualifications 5–8 years of full-stack, data, analytics, or software engineering experience, including ownership of production applications, platforms, or data products. Demonstrated experience translating ambiguous business and user needs into scalable software, prototypes, or analytical solutions in partnership with product, business, and technical stakeholders. Strong proficiency in one or more modern programming languages or frameworks, with the ability to review designs and code and guide implementation choices. Hands-on depth in several of the following: data engineering, APIs, cloud platforms, application development, automated testing, DevSecOps, observability, architecture, or production support. Practical experience delivering GenAI solutions using patterns such as retrieval-augmented generation, prompt engineering, agents, evaluation, and responsible human oversight. Proven ability to lead technical conversations with business stakeholders and end users, challenge assumptions constructively, explain trade-offs, and communicate progress, decisions, and risks clearly. Demonstrated application of security, privacy, quality, and compliance expectations; experience delivering in a regulated or high-control environment is strongly preferred. Preferred Experience Experience owning data products, dashboards, analytical applications, decision-support tools, or insight-generation capabilities through production adoption and improvement. Interest in or exposure to Medical Affairs processes across data generation, scientific communications, medical information, field medical or MSL engagement, and impact measurement. Experience in customer engineering, solutions engineering, product engineering, consulting, technical leadership, or a fast-paced delivery environment. Evidence of defining reusable components or patterns that improved delivery speed, quality, or consistency across multiple solutions or teams. Education Bachelor's degree in Computer Science, Software Engineering, Data Science, Analytics, Engineering, or a related field, or equivalent practical experience. #AGTech #GSK-LI Skills Computer Programming, Data Analysis, Data Governance, Data Ingestion, Data Integration, ETL Development, Performance Tuning, Structured Query Language (SQL) Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medi