At a Glance
- Tasks: Lead the development of AI-driven products for drug discovery and healthcare outcomes.
- Company: GSK, a global biopharma company focused on innovative medicines and vaccines.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team committed to improving health for 2.5 billion people.
- Why this job: Make a real impact on health by leveraging cutting-edge AI technology.
- Qualifications: Advanced degree or experience in pharma, drug discovery, or machine learning required.
The predicted salary is between 72000 - 88000 £ per year.
GSK is a global biopharma company with a stated purpose of uniting science, technology, and talent to get ahead of disease.
It develops specialty medicines and vaccines across four therapeutic areas: respiratory and immunology, oncology, HIV, and infectious diseases.
The company aims to positively impact the health of 2.5 billion people by the end of the decade.
The role
The Senior Product Manager, AI/ML sits within GSK's Digital and Technology function in London.
The role exists to lead the end-to-end development of AI-driven products that support drug discovery and healthcare outcomes.
You would work independently on complex problems, collaborating with internal and external technical teams, and engaging directly with senior leaders across the organisation.
- What you would do
- Define the goals, rationale, and success metrics for each AI product, articulating clearly what is being built and why.
- Translate the broader data and delivery strategy into concrete execution plans and ensure those plans are carried through.
- Apply knowledge of software engineering best practices, coding, and agentic frameworks to drive product development decisions.
- Keep cross-functional teams and stakeholders aligned on goals, timelines, and priorities throughout the product lifecycle.
- Run Agile iterative development cycles, with a focus on continuous inspection, adaptation, and improvement.
- Act as the voice of the user through thorough discovery processes, identifying and addressing unmet needs.
- Define and drive data requirements and sequencing strategies to support model development and timely delivery.
- Contribute to the AI Risk register and uphold GSK's data governance, ethics, and compliance standards.
- What they are looking for
- An advanced degree and/or substantial practical experience in pharma, drug discovery, or machine learning.
- Deep expertise in a basic science discipline such as biology, chemistry, physics, or mathematics.
- Ability to define strategy and translate it into action with a clear narrative, setting objectives and delegating effectively.
- Sound, evidence-based decision-making that balances pace, rigour, and risk.
- Experience managing in a matrix organisation and holding teams to high performance standards.
- Resilience, a commitment to quality, and a track record of leading change initiatives.
- Preferred: expertise in medical imaging, computer vision, computational pathology, cellular imaging, or spatial biology.
- Preferred: experience in clinical or late-stage applications and patient outcomes.
- Preferred: hands-on experience with software product management, coding, software engineering, and agentic architectures.
- Preferred: demonstrated ability to influence and negotiate across management levels and functional boundaries.
- Working arrangements
The role is based in London, UK, and operates on a hybrid (remote and on-site) basis.
Senior Product Manager, AI/ML in London employer: GSK
GSK is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Stevenage. With a strong commitment to employee growth, you will have access to extensive development opportunities while working on groundbreaking medicine projects. The hybrid work model and future relocation to Cambridge provide a unique advantage, ensuring a vibrant environment for both personal and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager, AI/ML in London
✨Unlock Networking Opportunities
Dive into industry-specific events like pharmaceutical conferences and seminars, where you can meet hiring managers from companies like GSK. These are goldmines for making connections and learning about job openings before they hit the mainstream job boards.
✨Join Relevant Professional Bodies
Get involved with organisations such as the Royal Pharmaceutical Society or your local pharmaceutical professionals' network. Being an active member can boost your credibility and may even lead to job referrals in top organisations like GSK.
✨Leverage Internships for Full-time Roles
If you can, consider pursuing internships in the pharmaceutical industry, especially with companies like GSK. These opportunities often pave the way for full-time positions and allow you to demonstrate your capabilities firsthand.
✨Tailor Your Approach
When you're applying for roles, don't rush it! Take the time to customise your applications for specific positions, showcasing relevant skills and experiences that align with what GSK is looking for. A tailored application can really make you stand out!
We think you need these skills to ace Senior Product Manager, AI/ML in London
Some tips for your application 🫡
Showcase Your Relevant Experience:When applying for a role in the pharmaceutical industry, it's crucial to highlight any relevant experience you have. Whether that's internships, lab work, or even related coursework, make sure to weave this into your CV and cover letter. We want to see how your background aligns with the role you're applying for at GSK!
Emphasise Your Understanding of Regulations:The pharmaceutical industry is heavily regulated, so it's important to indicate your familiarity with industry standards and regulations. In your cover letter, mention any training or certifications you've received that are relevant, or discuss projects where you’ve navigated compliance. This will show GSK that you're not just a fit for the job but also a safety-conscious candidate!
Tailor Your CV to Be Result-Driven:Craft your CV to highlight quantifiable achievements, especially if you have previous roles in pharmaceuticals or related fields. Use metrics to demonstrate your impact, such as improved processing times or successful project completions while working on trials. This analytical approach will resonate well with hiring managers at GSK!
Convey Your Passion for the Industry:In your cover letter, express why you are passionate about working in the pharmaceutical sector. Whether it’s your desire to contribute to groundbreaking drug research or improve patient outcomes, let it shine through! At GSK, we value candidates who are truly enthusiastic about their work—you might just stand out from the crowd.
How to prepare for a job interview at GSK
✨Understand the Science
Make sure you brush up on key pharmaceutical concepts and recent developments in the industry. You might get asked some technical questions during the interview at GSK that show your grasp of drug development processes or regulatory requirements, so be ready to discuss them clearly.
✨Showcase Relevant Experience
If you have any hands-on experience or internships in a laboratory setting, be sure to highlight these in your responses. Think about the projects you worked on, the methodologies you used, and the impact you made. It's all about telling a story that connects your background to the role you're applying for.
✨Know Their Products
Take some time to familiarise yourself with GSK’s product range and recent breakthroughs. Understanding their portfolio not only shows your enthusiasm for the role but also allows you to ask insightful questions that demonstrate your interest in actively contributing to their projects.
✨Be Ready for Regulatory Scenarios
In a full-time pharmaceutical role, understanding the regulatory landscape is crucial. Prepare for situational questions that may test your problem-solving skills concerning compliance and safety standards. You could be asked how you'd handle a hypothetical issue regarding a drug’s market release, so think through your approach.
