At a Glance
- Tasks: Lead the product strategy for innovative Molecule Design products using cutting-edge AI technologies.
- Company: Join GSK, a leader in pharmaceutical innovation and data technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving scientific breakthroughs and innovation.
- Why this job: Make a real impact in drug discovery with advanced AI and data solutions.
- Qualifications: Experience in product management and a strong background in AI and data science.
The predicted salary is between 80000 - 100000 £ per year.
Overview: 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.
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 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.
- 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.
- 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.
- Technical Architecture Guidance: Provide strategic guidance on the technical architecture and infrastructure required to build and scale the Molecule Design product portfolio.
Qualifications:
- Bachelor’s degree in a technical or scientific field, focusing on computational science, biomedical sciences, AI, data science, software engineering, or a related discipline.
- Significant experience in product management, with substantial leadership experience 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 in the life science domain.
- Demonstrated expertise in Generative AI, LLMs, and autonomous AI agents.
- 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:
- Master’s or PhD in a technical or scientific field.
- Exceptional leadership and communication skills.
- Extensive experience designing, optimizing, and implementing strategic approaches to Model Context Protocols (MCP) for LLM‑powered agents.
- Hands‑on software engineering or data science experience, particularly in GenAI.
- Proven ability to build and scale products that manage or interpret complex, unstructured data.
- Deep knowledge of bioinformatics, computational biology, or cheminformatics.
- Prior experience in the life science industry, biopharma R&D, or a similar highly regulated scientific domain.
- Experience in strategic partnership development or commercialization of deep technology products.
Closing Date: Tuesday 14th July 2026
Equal Opportunity Employer Statement: 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.
Product Director, Molecule Design Products employer: Cartesian
At GSK, we pride ourselves on being an exceptional employer, particularly for the role of Product Director in Molecule Design Products. Our innovative work culture fosters collaboration and creativity, empowering employees to lead transformative projects that directly impact scientific breakthroughs. With a strong commitment to professional development, competitive benefits, and a focus on leveraging cutting-edge AI technologies, GSK offers a unique opportunity to contribute to meaningful advancements in healthcare while enjoying a supportive and inclusive environment.
