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At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients. We are also developing AI solutions that increase operational efficiency, productivity and business processes for GSK’s people. Our Economics, Ethics and Policy organisation consists of philosophers, mathematicians and engineers working on two distinct fields: AI safety and the ethical and public policy implications of using AI systems in drug discovery and clinical applications on the one hand, and developing systems that seek to dynamically optimise the mix of assets in GSK’s multi-billion-pound R&D portfolio on the other. The focus of the Operations Engineer role will be to proactively provide operational support to the Economics, Ethics and Policy organisation. You will be reporting to the organisation’s Product Manager. We are looking for someone who combines organisational intelligence with a practical, business-oriented mindset to help the team run smoothly and efficiently.
Job Responsibility:
Coordinate and support operational activities across the Economics, Ethics and Policy organisation, helping ensure clear ownership, timelines and effective cross-functional collaboration across AIML and the wider organisation
Develop, implement and continuously improve processes and systems to support the team’s work, proactively identifying gaps or inefficiencies and working with stakeholders to design practical solutions — including the use of agent-enabled automation where appropriate
Provide structured analysis and operational support to leadership where needed, and help maintain end-to-end oversight of core governance standards to ensure consistency, transparency and compliance with internal requirements
Manage day-to-day operational aspects of external partnerships and vendor relationships, including contract renewals, licensing, CDAs, studentship agreements and associated financial processes
Establish and maintain clear documentation, meeting structures and reporting processes to support transparency and effective coordination across the organisation
Support recruitment and onboarding activities in coordination with relevant internal teams
Requirements:
Bachelor’s degree or equivalent relevant work experience
History of strong academic performance or measurable impact in the workplace
Professional experience in operations, project management, or a similar coordination role within a complex organisation
Strong written and verbal communication skills
Ability to work effectively with engineers, data scientists and researchers, and to translate technical topics into clear, practical actions
Ability to manage multiple priorities and operate effectively in environments with ambiguity
Demonstrated experience working across teams and functions to deliver outcomes
Strong organisational skills and attention to detail
Nice to have:
Master’s degree or advanced degree in a relevant field
Background in a STEM discipline or experience working closely with technical teams
Interest in responsible AI, AI governance or related policy topics
or fintech
Experience in healthcare, life sciences, health data, or technology environments
Familiarity with coding, data analysis or machine learning concepts (e.g. experience with using coding agents, vibe coding, etc.)