Fall Co-op/AI Commercial Strategy & Activation

GSK Internships & Co-ops powered by Atrium•Durham NC/Hybrid,

9d•$22 - $43•Onsite

About The Position

We are seeking an 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.

Requirements

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 2026 ~ March 2027).
Must have an active student status and/or within 12 months post-graduation from a BS or MS degree program. Post-doctoral candidates are not eligible.

Nice To Haves

Ability to translate technical outputs into clear business recommendations for non-technical stakeholders.
Strong documentation discipline, attention to detail, and willingness to work within governance and compliance constraints.
Interest in healthcare, pharmaceuticals, commercial strategy, market access, field execution, or responsible AI adoption.

Responsibilities

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.