Fall Co-op/AI Commercial Strategy & Activation

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

 

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Department Description

The AI Strike Team is a cross-functional initiative within ViiV US Commercial focused on enabling AI-first execution across the organization.  

The team works across Marketing, Sales, Market Access, Medical, and Operations to build scalable AI capabilities, tools, and playbooks that accelerate decision-making and field execution. 

Watch this before you apply! GSK Early Careers Top Tips:

Learn practical advice from GSK on how to prepare a standout application and succeed in your early careers journey: GSK Early Careers Top Tips

Job Description

We are seeking undergraduate/graduate co-op student to help accelerate ViiV’s transition from AI exploration to real-world activation. 

This role is hands-on and focused on building, testing, and implementing AI-enabled solutions in partnership with business and data teams. 

This is a high-impact opportunity to work on a real AI implementation challenge inside a commercial healthcare environment. Co-ops will gain experience at the intersection of AI, business strategy, responsible governance, and healthcare execution. The work will be visible, practical, and outcome-oriented: successful interns will leave with tangible examples of how they helped move a business from AI experimentation to repeatable AI-enabled execution. 

Key Responsibilities include but not limited to:  

• Build and test AI-enabled proof points: Support the development of at least one priority use case, such as nurse contracting and remote injection mapping, using approved tools and data sources.  
• Research and evaluate tools: Assess AI, analytics, automation, and workflow tools for relevance, usability, security considerations, and fit within the 3-tier tool sandbox model.  
• Analyze data and generate insights: Clean, structure, and synthesize available datasets, market inputs, claims-related information, field feedback, and external benchmarks to identify actionable patterns.  
• Create prototypes and workflows: Develop practical outputs such as ranked target lists, mapping frameworks, dashboards, prompt libraries, agentic workflows, or lightweight automations that can be tested by business teams.  
• Document what works: Capture methods, assumptions, decisions, risks, limitations, and reusable templates so the Strike Team can convert the pilot into a repeatable playbook.  
• Support knowledge transfer: Teach as they build by preparing demos, quick-start guides, office-hour materials, and short training sessions for ViiV employees.  
• Operate within governance expectations: Follow all ViiV/GSK confidentiality, data access, Legal, Compliance, procurement, and responsible AI requirements. 

Minimum Qualifications

• Pursuing a BS or MS degree in Computer Science, Data Science, AI/ML, Health Analytics, Quantitative Management or similar disciplines.
• Familiarity with generative AI tools, prompt engineering, machine learning concepts, automation tools, or rapid prototyping methods.  
• Strong analytical problem-solving skills and comfort working with ambiguous business problems.  
• Experience with data analysis, visualization, or workflow design; exposure to SQL, R, Power BI, Tableau. 
• Exposure to AI development tools: Claude, Chat GPT, Gemini.
• Must be able to work full-time (35-40 hours/week) throughout the duration of the 6 month co-op (September 202