Applied AI Enablement Intern

Job description

At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Job Title Applied AI & Enablement Intern Why Genmab At Genmab, interns don’t just learn about the work - they help move it forward. Our internship program provides meaningful, hands-on experience through real projects that directly support our teams, business priorities, and mission to transform the lives of people with cancer and other serious diseases. From day one, interns are welcomed as part of the team and given opportunities to contribute, collaborate, and make an impact. Along the way, you’ll learn from talented colleagues and senior leaders, build new skills, expand your professional network, and gain exposure to the innovative work happening across Genmab. We’re always looking for smart, curious, purpose-led people who are ready to bring fresh perspectives and bold ideas. Explore our website to learn more about Genmab and how you could play a role in our bold, extra[not]ordinary® future. Job Overview The Applied AI & Enablement Intern will work alongside Genmab business colleagues and technical partners to turn everyday workflow challenges into practical AI solutions. Combining a consulting approach with hands-on delivery, the intern will help discover and evaluate use cases, build and test small pilots, and enable colleagues to adopt approved AI tools, including Codex. The role also includes Tier 1 and guided Tier 2 support, using questions and issues from users to improve solutions and learning resources. What you’ll do Conduct discovery conversations with business colleagues to understand their workflows, pain points, and goals; translate findings into clear AI use-case briefs with requirements, expected value, and measurable success criteria. Assess and prioritize AI use cases with a mentor based on business value, feasibility, data readiness, and risk; recommend a practical approach and define the scope of a small pilot. Build and test lightweight AI workflow prototypes, reusable prompts, or simple automations using approved tools; gather user feedback, compare results with the current process, and document limitations and next steps. Support colleagues new to Codex through beginner-friendly walkthroughs, hands-on exercises, and office hours; help them describe tasks clearly, review proposed changes, test results, and troubleshoot common questions using approved guidance. Develop and update quick-start guides, FAQs, short demonstrations, and role-specific examples for approved AI tools; check instructions and examples before publication. Design and help deliver role-specific onboarding, hands-on workshops, and office hours; connect tool demonstrations to real business tasks and help colleagues apply what they learn. Provide Tier 1 support by logging and categorizing requests, helping colleagues with onboarding and common usage questions, and resolving documented issues within assigned permissions. Provide guided Tier 2 support by reproducing more complex issues, gathering relevant error details, testing approved troubleshooting steps, and documenting findings with a mentor. Escalate unresolved technical issues, access changes, and privacy or security concerns to the appropriate owner, with clear reproduction steps and a record of actions taken. Turn recurring questions and resolved issues into searchable knowledge articles and troubleshooting guides; keep content current as tools and workflows change. Track support volumes, recurring issues, response and resolution times, and learner feedback; prepare a concise weekly summary and recommend specific improvements. Deliver a capstone project from discovery through a tested pilot and user enablement; present the business problem, solution, measured results, limitations, and recommendations, and prepare a clear handoff for the team. Required qualifications, capabilities and skills Currently enrolled in an undergraduate or graduate program in Information Systems, Computer Science, Data Science, Business Analytics, Instructional Design, or a related field. Hands-on experience using generative AI tools through coursework, projects, or work, including writing prompts, checking outputs for accuracy, and recognizing when a response needs verification. Ability to break down a business workflow, gather user requirements, and define how an improvement could be measured, demonstrated through coursework or project experience. Ability to troubleshoot a software issue systematically, reproduce the problem, record relevant details, and explain when escalation is needed. Ability to create clear step-by-step instructions and explain a digital workflow to people with different levels of technical experience. Working knowledge of Microsoft 365 tools, including Excel for organizing and summarizing data, PowerPoint for learning materials, and Teams for collaboration. Understanding of basic data privacy and information security practices, including handling sensitive information appropriately and following approved access and tool-use policies. Preferred qualifications, capabilities and skills Experience tutoring, delivering training, providing peer technology support, or working on a help desk through a campus role, volunteer work, or an internship. Familiarity with support ticketing or knowledge-management tools, such as ServiceNow, Jira, SharePoint, or similar platforms. Experience creating short instructional videos, learning guides, knowledge articles, or hands-on exercises. Experience using Codex or similar AI coding tools through coursework or personal projects, including reviewing generated changes and checking results. Experience in a consulting project, business analysis assignment, product prototype, hackathon, or technology implementation involving user needs and a practical deliverable. Exposure to enterprise AI assistants, such as ChatGPT, Microsoft Copilot, or similar tools, and their use in everyday business workflows. Basic Python, SQL, or low-code automation experience, and an interest in using these skills to improve support reporting or routine processes. Interest in applying technology in a life sciences environment and learning how employees use AI responsibly. General Intern Information – Date/Location/Schedule Internships will take place over 10 weeks from June – August 2027. This role will be based in Princeton, NJ and operate on a required hybrid schedule – 3 days in the office and 2 days remote per week. This role is not eligible for work visa sponsorship at the time of the application or in the future. What’s next? Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it’s important to complete all relevant questions to ensure we have as much information about you as possible. Every application matters to us, and we’ll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we’re unable to provide individual updates, rest assured that we’re working diligently to move through the process effic