Principal Engineer - Medical Affairs Digital Tech

Overview

Principal Engineer for Global Medical Affairs Digital & Tech, leading the design and delivery of digital, data, analytics and AI solutions that improve Medical Affairs data generation, scientific communications, medical information, MSL engagement and insights.

What you'll do

• 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.
• 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 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.
• Lead engineering contributions to products that improve visibility across evidence planning, study execution, evidence generation, data quality, analysis and reporting.
• Design and deliver digital, AI and technology capabilities across medical writing, publications, congress activity, content development, scientific dissemination, reach, engagement and impact.
• 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.
• Design solutions that strengthen planning, engagement and measurement of scientific exchange, stakeholder engagement, field insights, content use and follow-up.
• Connect data across these domains to create trusted dashboards, analytical and insight products, and decision-support experiences.
• 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.

What you'll need

• 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.
• Bachelor's degree in Computer Science, Software Engineering, Data Science, Analytics, Engineering or a related field, or equivalent practical experience.

Nice to have

• 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.

Details

• Location: Bengaluru Luxor North Tower.