The posting
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, evaluation assets, APIs, patterns, and reference architectures.
- Coach product teams and Medical Affairs Digital and Tech colleagues in AI-augmented delivery, analytical thinking, experimentation, and product adoption.
What You Bring
Required Experience:
- At least 10 years of full-stack, data, analytics, or software engineering experience, including ownership of production deployments and scaled enterprise solutions.
- Strong proficiency in modern software languages, plus experience with at least one modern application development language or framework such as TypeScript/JavaScript, Java, Phyton, or similar.
- Experience with data engineering, analytics products, APIs, cloud platforms, modern software engineering, testing, DevSecOps, observability, and production support.
- Experience applying GenAI patterns such as agents, multi-agent orchestration, retrieval-augmented generation, prompt engineering, evaluation, and responsible human oversight.
- Experience in working with senior business stakeholders and end users, translate needs into technical choices, and communicate trade-offs clearly.
- Experience delivering technology in a regulated or high-control environment with strong expectations for security, privacy, quality, and compliance.
Preferred Experience.
- A master's degree in a related field is advantageous.
- Experience building measurement frameworks, data products, dashboards, analytical applications, decision-support tools, or insight-generation capabilities.
- Familiarity with Medical Affairs processes across data generation, scientific communications and publications, medical information, field medical or MSL engagement, and impact measurement.
- Prior experience in a senior principal engineering, customer engineering, solutions architecture, product engineering, or startup environment.
- Track record of scaling a successful solution across multiple markets, business units, or user groups while improving reuse and reducing delivery time.
Education
Bachelor's degree in Computer Science, Software Engineering, Data Science, Analytics, Engineering, or equivalent practical experience.
Skills Profile
Capability
G6 expectation
Delivery
Embeds with users, frames ambiguous problems, prototypes quickly, and iterates using evidence and direct feedback.
Technical Ownership
Engineers validated concepts into secure, compliant, observable, supportable products and remains accountable through adoption and stabilisation.
Scale and Reuse
Designs configurable, reusable components and patterns that allow successful solutions to expand across functions, therapy areas, and regions.
Measurement and Analytics
Translates Medical Affairs objectives into trusted measures, analytical products, insights, and decision-support experiences.
Technical Judgement
Makes sound architecture, data, AI, and engineering decisions with incomplete information while balancing value, risk, speed, and sustainability.
Customer Partnership
Builds trusted relationships with Medical Affairs leaders, product owners, scientists, analysts, engineers, and operational teams.
Responsible Innovation
Integrates security, privacy, quality, compliance, and Responsible AI into delivery from the start.
Capability Building
Leaves teams stronger by coaching colleagues and contributing reusable assets, standards, and ways of working.
What Success Looks Like
In the first 12 months, the person in this role will have:
- Owned multiple high-priority Medical Affairs engagements from problem framing through prototype, production deployment, adoption, and measurable value realisation.
- Put at least one new Measurement, Analytics and Insights solution into production and established a credible path to scale across additional teams, therapy areas, or regions.
- Improved decision-making or operational performance in one or more priority domains: Data Generation, Scientific Communications, Medical Information, or MSL Engagement.
- Established clear product metrics and production monitoring covering adoption, data quality, service performance, user experience, and realised business value.
- Contributed reusable engineering, data, analytics, or AI assets that materially accelerate subsequent Medical Affairs solutions.
- Built strong trust with Medical Affairs and Tech stakeholders as an embedded technical partner who delivers working outcomes, not only recommendations.
About Global Medical Affairs and Medical Digital & Tech
Global Medical Affairs generates and communicates scientific evidence to support informed decision-making, demonstrate product value, and enable high-quality scientific exchange with healthcare professionals. Its work spans evidence and data generation, scientific communications and publications, medical information, field medical and MSL engagement, and the measurement of Medical Affairs impact.
Global Medical Affairs Digital & Tech enables this mission through secure, compliant, user-centred digital, data, analytics, and AI capabilities across therapy areas, regions, and central functions. The team partners with Medical Affairs to modernise workflows, connect data, generate actionable insights, improve stakeholder experiences, and scale solutions that deliver measurable scientific and business value.
GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together. We are committed to building a diverse and inclusive team and welcome candidates from all backgrounds and underrepresented groups in technology, science, and pharma.
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Skills
Computer Programming, Data Analysis, Data Architecture Development, Databricks Unified Data Analytics Platform, Data Engineering, Data Governance, Data Ingestion, Data Integration, Data Migrations, Data Modeling, Data Transformation, ETL Development, Performance Optimizations, 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 medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Inclusion at GSK:
As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.
Please contact our Recruitment Team at [email protected] to discuss your needs.
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