About the Role
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. It is a full‑stack shop that brings together product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms. Our focus is on creating a next‑generation data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity and reducing time spent on “data mechanics.” We are seeking an experienced Director, Molecule Design Products who will be accountable for designing and delivering the roadmap for molecule design products to support GSK Research and Development.
The Director will be responsible for defining and executing the comprehensive product strategy for our entire portfolio of AI‑powered solutions aimed at accelerating drug discovery. You will build, mentor, and lead a high‑performing team of Product Managers, driving the strategic adoption of Generative AI, LLMs, and autonomous agents to revolutionise how we design molecules.
Responsibilities
- 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 timely delivery of product features and solutions across the portfolio to maximise 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 & Modernisation: 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. Define a comprehensive product modernisation strategy and oversee the transformation of legacy tools into AI‑ready solutions.
- Human‑AI Interaction & User Experience: Champion the strategic approach to human‑AI collaboration and interaction design for the portfolio, ensuring 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.
- 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; embed responsible AI practices and data governance 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
We are looking for professionals with these required skills:
- Bachelors 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 modernisation 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, with 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.
- Extensive experience designing, optimising, and implementing strategic approaches to Model Context Protocols (MCP) for LLM‑powered agents across multiple products.
- 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.
- Prior experience in the life science industry, biopharma R&D, or a highly regulated scientific domain, including technology adoption and change management for established platforms.
- Experience in strategic partnership development or commercialisation of deep technology products.
Equal Opportunity Employer
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 (including family medical history), military service or any basis prohibited under federal, state or local law.
