Applied AI & Clinical Technology Innovation Intern

Genmab is an international biotechnology company dedicated to improving patient lives through innovative antibody therapeutics. The Applied AI & Clinical Technology Innovation Intern will support initiatives applying automation and AI to enhance clinical development operations.

Responsibilities

• Support the design, prototyping, or enhancement of AI- or automation-driven tools that improve workflows across clinical development
• Build or extend low-code solutions using the Microsoft Power Platform (Power Automate, Power Apps, Copilot Studio) to streamline manual processes
• Contribute to applied AI activities using platforms such as OpenAI, Anthropic, Replit, and internal DD&AI technologies
• Perform process mapping and requirement gathering with cross-functional partners to understand operational pain points and value opportunities
• Assist in evaluating new clinical technologies (e.g., CTMS enhancements, workflow orchestration tools) and support implementation activities as appropriate
• Participate in proof-of-concept development, including testing, documentation, iteration, and presenting findings to stakeholders
• Apply structured problem-solving and attention to GxP, security, and privacy considerations when designing prototypes
• Collaborate with mentors and multidisciplinary teams to deliver a tangible project outcome or final presentation demonstrating internship impact

Skills

• Enrollment in a Bachelor's or Master's program in Engineering, Computer Science, Data Science, Information Systems, Business Analytics, Biomedical Engineering, or a related technical/quantitative field
• Foundational experience in at least one of the following: programming (Python, JavaScript, or similar), low-code / automation tools (Microsoft Power Platform, UiPath, etc.), applied AI or data science coursework, full-stack developer or AWS cloud engineering
• Strong analytical, problem-solving, and conceptual thinking abilities
• Demonstrated interest in applying technology to improve real-world processes
• Skills at translating technical concepts for diverse audiences effectively
• Ability to work both independently and collaboratively within multidisciplinary teams
• High attention to detail, accountability, and commitment to quality—especially in regulated or data-sensitive environments
• Familiarity with generative AI concepts, prompt engineering, or LLM-powered workflows
• Experience with workflow automation, app building, or scripting in low-code environments
• Prior exposure to software development best practices (e.g., version control, documentation, modular code)
• Understanding of GxP, AI traceability and validation, data privacy, cybersecurity principles, or compliance-sensitive environments
• Experience with process improvement activities (Lean, Six Sigma, root-cause analysis)
• Ability to rapidly learn new technologies and apply them to ambiguous problem spaces
• Curiosity, creativity, and a proactive mindset to execute on digital innovation

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