Director, Molecule Design Products

GSK; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A global pharmaceutical leader is looking for an experienced Senior Product Manager to drive the product strategy for Molecule Design solutions at their UK office. The successful candidate will lead a high-performing team and focus on integrating AI/ML capabilities to enhance research productivity. Ideal applicants will have a strong background in product management, especially in technical and scientific domains, and must demonstrate leadership in innovation and strategy development.

Qualifications

• Significant experience in product management, particularly in leadership roles.
• Proven ability to define product strategy for life science domain.
• Expertise in Generative AI, LLMs, and autonomous AI agents.

Responsibilities

• Define and champion the product strategy and roadmap for Molecule Design.
• Build and lead a high-performing team of Product Managers.
• Drive modernization strategies for AI-enabled solutions.

Skills

Product Strategy

Leadership

Generative AI

Cloud-native architectures

Education

Bachelor’s degree in a technical or scientific field

Master’s or PhD in a relevant field (preferred)

Job description

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

Purpose of Onyx

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 Senior Product Manager who will be accountable for designing and delivering the roadmap 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.

In this role you will

• Portfolio Strategy & Vision: Define and champion the overarching product strategy, vision, and roadmap for the entire Molecule Design product portfolio, ensuring alignment with Onyx’s and GSK R&D’s strategic objectives and long‑term scientific breakthroughs; oversee the timely delivery of product features and solutions across the portfolio to maximize scientific impact and business outcomes.

• Team Leadership & Development: Build, mentor, and lead a high‑performing team of Product Managers and Senior Product Managers, fostering a culture of innovation, user‑centricity, accountability, and continuous professional growth.

• AI/GenAI Portfolio Leadership & Modernization:

  • Drive the strategic direction for leveraging Generative AI, LLMs, and autonomous AI Agents across the entire Molecule Design portfolio, identifying breakthrough opportunities to automate and enhance complex scientific research tasks.
  • Set the vision and execute a comprehensive product modernization strategy, transforming existing legacy tools and solutions to be AI‑ready, while ensuring business continuity and minimal disruption to ongoing scientific research.
  • Oversee the strategy and development of foundational capabilities (e.g., model‑ready molecule design data products, Model Context Protocol implementations) that underpin and unify our AI‑powered products.
  • Establish strategic guidelines for data acquisition, model fine‑tuning, and the responsible deployment of proprietary Generative AI models across the portfolio.

• Human‑AI Interaction & User Experience: Champion the strategic approach to human‑AI collaboration and interaction design for the portfolio, ensuring that agentic systems provide intuitive, powerful, and ethical experiences for scientists.

• Executive & Cross‑Functional Influence: Foster deep strategic partnerships with executive‑level product, engineering, and scientific leadership. Influence key stakeholders across R&D, Tech, and partner functions to align on product vision, secure resources, and drive adoption.

• Strategic Portfolio Growth & Capability Sourcing: Identify, evaluate, and champion significant strategic market opportunities and external partnerships. Lead critical buy‑vs‑build decisions for core capabilities across the Molecule Design product portfolio, ensuring the most effective and efficient path to accelerate growth, drive impact, and optimise resource allocation.

• Performance & Governance: Define and oversee the strategic framework for portfolio‑level performance metrics, governance guidelines, and continuous improvement mechanisms for all AI‑powered molecule design products. Ensure responsible AI practices and data governance are embedded throughout the product lifecycle.

• Technical Architecture Guidance: Provide strategic guidance on the technical architecture and infrastructure required to build and scale the Molecule Design product portfolio, including cloud‑native solutions, data pipelines, and multi‑agent system architectures.

Qualifications & Skills

• Bachelor’s degree in a technical or scientific field, with a focus on computational science, biomedical sciences, AI, data science, software engineering, or a related discipline.
• Significant experience in product management, with a substantial amount in a leadership role and a proven track record of driving significant product modernization initiatives.
• Proven track record of defining and executing a product strategy for a portfolio of 0‑to‑1 products or product lines, specifically in the life science domain, including the strategic transformation of existing products.
• Demonstrated expertise in Generative AI, LLMs, and autonomous AI agents, including a deep understanding of their application in complex technical or scientific problem spaces.
• Deep technical fluency with cloud‑native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale advanced AI/ML applications.

Preferred Qualifications & Skills

• Master’s or PhD in a technical or scientific field, with a focus on computational science, biomedical sciences, AI, data science, software engineering, or a related discipline.
• Exceptional leadership and communication skills, with the ability to articulate complex technical and strategic concepts to diverse audiences, from engineers to executive leadership.
• Extensive experience designing, optimising, and implementing strategic approaches to Model Context Protocols (MCP) for LLM‑powered agents across multiple products, including advanced strategies for prompt engineering, context management, and memory architectures.
• Hands‑on software engineering or data science experience, particularly in GenAI, prior to transitioning into product leadership.
• Proven ability to build and scale products that manage or interpret complex, unstructured data, particularly biomedical or scientific data.
• Deep knowledge of bioinformatics, computational biology, or cheminformatics, coupled with a visionary perspective on how agentic AI can revolutionise the drug discovery process, while also navigating the complexities of existing scientific workflows.
• Prior experience in the life science industry, biopharma R&D, or a similar highly regulated scientific domain, with specific experience in technology adoption and change management for established platforms.
• Experience in strategic partnership development or commercialisation of deep technology products.

Closing Date for Applications: Tuesday 6th January 2026 (COB)

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.