The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:
* Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics"
* Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent
* Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time. Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end‑user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer‑facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data‑powered applications.
We are seeking an experienced Product Manager II who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best‑in‑class technology products to improve research productivity and ultimately deliver new medicines for our patients.
Responsibilities
* Contribute to Product Development & Adoption: Actively contribute to the full product lifecycle, from development to launch and adoption, focusing on specific features and components within novel molecule design solutions for the scientific community at GSK.
* Support GenAI Strategy: Support the strategic integration and enhancement of GenAI capabilities within molecule design tools, helping to define and implement next‑generation AI‑powered functionalities.
* Collaborative Delivery: Partner closely with Onyx tech teams, R&D scientists, and leaders to facilitate the delivery of impactful cloud‑based products and solutions that leverage Generative AI and agentic capabilities.
* Product Strategy & Roadmap Contribution: Contribute to the definition and execution of specific features and components within the molecule design solutions roadmap, ensuring alignment with the overall product strategy.
* User Research & Feedback Analysis: Conduct user interviews, gather feedback, and analyze user data to inform the definition of product enhancements and identify opportunities for iterative improvements in molecule design tools.
* Product Feature Definition: Work closely with Senior Product Managers and engineering teams to translate user needs into clear, well‑defined product requirements, user stories, and acceptance criteria for discrete features.
* Agile Development Engagement: Actively participate in agile ceremonies (e.g., sprint planning, backlog refinement, stand‑ups) with engineering teams, ensuring product requirements are understood and supporting effective backlog management.
* GenAI Feature Implementation Support:
o Contribute to the development and implementation of specific features within AI Agents, leveraging LLMs and Generative AI to automate well‑defined parts of scientific research tasks.
o Assist in the design and testing of human‑agent interaction components, focusing on specific conversational flows or user interface elements to enhance usability.
o Support the product lifecycle for individual models or agents by assisting with data gathering, testing of fine‑tuned models, and developing documentation for APIs/agents.
o Support the implementation of Model‑In‑The‑Loop designs by gathering R&D user feedback and contributing to
* Participate in and contribute to highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine‑tuning foundational models, vector databases, and multi‑agent system architectures.
* Cross‑Functional Coordination: Coordinate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, ensuring clear communication and smooth execution.
* Product Release Support: Assist with product launch activities for new features, including preparing documentation, training materials, and support resources to ensure successful adoption.
* Performance Monitoring & Optimization: Monitor key metrics for specific product features, gather user feedback on performance, and identify potential areas for improvement.
Why you?
* Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline.
* Experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large‑scale enterprise setting.
* Demonstrated experience executing product strategy for modern applications, including hands‑on experience with technologies core to AI systems such as vector databases, MLOps, retrieval‑augmented generation, and model fine‑tuning.
* Demonstrated technical fluency with cloud‑native architectures (e.G., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM‑based applications.
Preferred Qualifications & Skills
* Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, or related discipline Engineering, Cloud Computing or related discipline.
* Experience contributing to products that involve AI agents, their tool utilization (APIs, function calling), or the development of conversational AI interfaces.
* Hands‑on software engineering or data science experience in an AI/GenAI‑focused team prior to transitioning into product management.
* Familiarity with the architecture of modern transformer‑based models and an understanding of the strategic trade‑offs when selecting between proprietary, open‑source, or fine‑tuned custom models.
* Experience contributing to products that facilitate integration, visualization, and analysis of structured and unstructured biomedical data (e.G., genomics, proteomics, clinical data).
* Foundational knowledge of bioinformatics, computational biology, or cheminformatics, and an interest in how agentic AI can impact drug discovery.
* Familiarity with Model Context Protocols (MCP) for LLM‑powered agents, including basic concepts of prompt engineering, context window management, and maintaining model coherence in multi‑turn interactions.
* Hands‑on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc.
* Previous experience in the life science industry or biopharma R&D is a plus.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on ukrecruitment.adjustments@gsk.com or 0808 234 4391.
Why GSK?
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.
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