Product manager, AIML in healthcare in London

Are you passionate about harnessing the power of AI to revolutionize healthcare? At GSK, we envision a future where advanced machine learning and AI applications drive the development of breakthrough therapies, enabling personalized treatments that yield better outcomes, reduce costs, and minimize side effects. If you're excited by the challenge of pushing the boundaries of technology to solve some of the world's most pressing health issues, we'd love to have you on our team.

Responsibilities:

• Define AI Product Goals: Assess the objectives of each AI product, clearly articulating the 'why' and the 'what,' along with establishing metrics to measure success.
• Strategic Definition & Execution: Understand the broader delivery and data strategy and ensure successful execution of plans.
• Technical Expertise: Leverage strong analytical skills, knowledge of software engineering best practices, coding, and integration with agentic frameworks to drive product development.
• Product Focus: Maintain a sharp focus on improving and delivering products by ensuring clear communication across teams and stakeholders, aligned with agreed goals and timelines.
• Agile Methodology: Utilize Agile practices in iterative development, with a strong emphasis on inspection, adaptation, and continuous improvement.
• Customer Advocacy: Act as the voice of the customer or user through thorough discovery processes and addressing unmet needs.
• Data Management: Accountable for defining and driving data requirements & strategies to ensure proper sequencing in model development, ensuring timely project delivery.
• Risk and Governance: Contribute to the effective management of the AI Risk register and uphold GSK’s data governance standards.
• Ethics and Compliance: Ensure all projects adhere to planning, reporting, ethics, and governance processes.

Requirements:

• Advanced degree and/or practical on the job-related experience in pharma/drug discovery and machine learning.
• Deep expertise in a basic science Biology, Chemistry, Physics, Math etc.
• Strategic Definition & Action: Define and translate strategy into action with a compelling narrative, motivating others, setting clear objectives, and delegating effectively.
• Agile Decision Making: Use evidence and sound judgment to balance pace, rigor, and risk in decision-making.
• Leadership and Performance Management: Effectively manage matrix leadership, ensuring high standards are met.
• Commitment to Quality: Deliver high-quality results, overcoming challenges, and focusing on what truly matters.
• Change Leadership: Implement and lead change initiatives effectively across a matrix organization.
• Resilience and Well-Being: Sustain energy and wellbeing while building resilience within teams.
• Continuous Learning: Always seek opportunities to learn, develop skills, and share knowledge both internally and externally.
• Relationship Building: Foster strong relationships and collaboration, managing trusted stakeholder interactions both internally and externally.

Preferred Qualifications:

• Expertise in medical imaging, computer vision, computational pathology, cellular imaging, or spatial biology.
• Experience in clinical, late-stage applications and patient outcomes.
• Experience with software product management and delivery cycles.
• Experience with coding, software engineering, and agentic architectures.
• Proven ability to influence, communicate and negotiate with all levels of management across functional and business unit boundaries.
• Demonstrated experience organizing and motivating teams of individuals from multiple departments outside of his/her control (e.g., matrix team members).
• Proven ability to understand process improvement and change management issues associated with the lifecycle of product delivery.

Conditions:

• Innovative Product Management: You'll have the autonomy to shape the vision and strategy for groundbreaking AI products, using your expertise to turn complex challenges into simple, effective solutions.
• Cutting-Edge Technology: Work at the intersection of science and technology, taking advantage of GSK's wealth of data and leading the development of products that use the latest in machine learning to improve patient outcomes.
• Collaborative Environment: Engage with cross‑functional teams and senior leaders across the company, building strong relationships that foster innovation and ensure successful product deployment.
• Mission-driven impact: Your work connects directly to patients. Our stakeholders are expert scientists who will challenge your thinking and sharpen your analysis, and your outcomes steer real programs backed by significant investment and meaningful patient impact.
• Agile Work Culture: Thrive in an environment that values agility, continuous learning, and iterative development, where your ideas can quickly translate into impactful products.