At a Glance
- Tasks: Shape AI's impact on GSK's process development and drive high-value opportunities.
- Company: Join GSK, a leader in applied artificial intelligence for healthcare.
- Benefits: Supportive team culture, learning opportunities, and impactful work in healthcare.
- Other info: Collaborate with top talent and contribute to groundbreaking healthcare technology.
- Why this job: Transform complex challenges into AI solutions that improve patient outcomes.
- Qualifications: Experience in pharma/life sciences, AI/ML product management, and strategic roles.
The predicted salary is between 72000 - 88000 £ per year.
Enterprise AI is GSK’s centre of gravity for applied artificial intelligence. We pair forward deployed engineers and full-stack engineers with scientific, clinical, and business teams to build AI products that get used - not pilots that get archived. We work fast, ship in production, and measure ourselves on outcomes that matter to patients.
You’ll help shape how AI transforms GSK’s process development around the world: identifying where it will deliver the greatest value and keeping our teams always focused on the highest-impact opportunities. You’ll partner closely with business stakeholders to prioritize opportunities based on feasibility and value. You’ll take a complex business problem, structure it, size the value, prototype hands-on, and turn it into something a forward deployed engineer (FDE) can build against.
You will run the day-to-day AI opportunities in the process development science for R&D. You will redesign the business platform thinking for oligonucleotides (oligos), antibody-drug conjugates (ADCs) and monoclonal antibodies, and foster our self-driving labs initiatives to automate the physical space. This will support in silico modeling and platform fitness, especially in a 10x transformation. You will work hand in hand with the data analytics team in process science and partner with the R&D Tech teams, and our shared focus is to bring a 10x change in the way we do modeling, optimization, agentic workflows, document authoring and physical AI for simulation.
Surface and size AI opportunities across your assigned engagements and adjacent business units; produce one-page opportunity briefs that are easy to compare and prioritize. Build credible value cases with finance-grade reasoning behind cycle time saved, decisions accelerated, revenue uplift, or cost avoided. Develop hands-on domain knowledge in your engagement areas - workflows, data, decisions, and the people who own them. Recommend what to start, continue, and stop across your engagements based on evidence, not enthusiasm. Sequence work for impact. Help engineering leads decide what is in scope this sprint, what is next, and what is out. Be the day-to-day strategic partner to FDE pods. Convert business ambiguity into crisp problem statements, success metrics, and decision frameworks engineers can act on. Run engagement structure end-to-end. Scope, success criteria, exit conditions, scaling pathways - drafted, agreed, and revisited. Spot reusable patterns that should become platform capability instead of point solutions. Operate fluently with Director-level business and scientific stakeholders. Run working sessions that move things forward and produce decisions, not just notes. Maintain sponsor confidence with concise updates, honest risk calls, and clear asks. Track value realization on each engagement against the case you wrote up front. Capture lessons rigorously and feed them back into how the team scopes the next engagement.
Requirements:
- Strong progressive experience in some combination of pharma/life sciences, AI/ML product, product management, or strategy roles in technology-led organisations.
- A track record of taking complex, ambiguous business problems and turning them into structured, sized opportunities with defensible business cases.
- Working knowledge of process modeling, manufacturing and laboratory content in R&D, including how decisions actually get made on the ground.
- Proven experience redesigning the business platform thinking for drug modalities such as oligonucleotides, antibody-drug conjugates (ADCs) and monoclonal antibodies.
- Proven experience identifying opportunities in self-driving labs to automate the physical space, and across in silico modeling and platform fitness, and shaping them to deliver a 10x change.
- Proven experience designing the strategy of multi-initiative workstreams: capturing opportunities embedded in the business, sizing value, and owning outcome-based delivery.
- Comfortable technical fluency in modern AI/ML - enough to design realistic engagements with engineers and avoid hype-driven choices.
- Strong individual contributor instincts - you produce quality artefacts, not status updates.
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
Preferred:
- Experience in process development or manufacturing for oligonucleotides, ADCs or monoclonal antibodies.
- Experience with self-driving labs and lab automation of the physical space, in silico modeling, or platform fitness products and programs.
- Experience working with data analytics, data science, or process science teams to bring a 10x change in modeling, optimization, and simulation.
- Experience in regulated industries (pharma, healthcare, financial services) and familiarity with good practice regulations (GxP) and data-governance constraints.
- Master’s degree in Computer Science or related field is advantageous.
Conditions:
You will join a supportive team that values clear communication and practical problem solving. You will have access to learning and development to grow both technical and leadership skills. Your work will support technology that enables critical work across the company and helps improve healthcare outcomes.
AI product manager in process development 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 AI product manager in process development
✨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 AI product manager in process development
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.
