2027 Summer Intern- Medical Writing Operations (PhD)

AstraZeneca • New Haven, CT

9d • Onsite

About The Position

As a Medical Writing Operations Intern with Alexion's Medical Writing (MW) Operations team, you will work on a specialized short-term project supporting capability builds and key business initiatives. Under the guidance of team members and subject matter experts, you will help advance digital collaboration and AI adoption across Medical Writing using Alexion-approved AI tools and Microsoft collaboration platforms.

The internship includes support for selected projects involving digital collaboration, such as developing reusable Microsoft Loop and Teams templates, piloting meeting practices, creating a meeting-to-artifact playbook and decision/action tracker, and summarizing pilot feedback. You will also support AI adoption and enablement by collecting user feedback and priority use cases, developing a focused prompt starter pack, and contributing to an adoption playbook reviewed by MW subject matter experts. You will develop and refine prompts for fit-for-purpose generative AI outputs and document test results for review.

You will collaborate with MW Operations and cross-functional teams to improve processes, create brief training materials or communications to support adoption of internship deliverables, and participate in MW Operations and Innovation Project team meetings. At the end of the internship, you will present a summary and hand over completed deliverables, findings, and recommendations to the MW Operations team. The role requires reporting onsite in New Haven, Connecticut. The hourly rate is $48. Relocation assistance and OPT support are not provided.

Requirements

• Currently enrolled full-time in a PhD program in Computer Science, Artificial Intelligence/Machine Learning, Data Science, Biomedical Sciences, Bioinformatics, or a closely related field.
• Experience with generative AI tools and prompt development; internship work will use Alexion-approved AI tools.
• Experience with Microsoft Copilot, Word, Teams, SharePoint, Outlook, and Loop.
• Fluency in reading, writing, understanding, and communicating in English.
• Ability to organize and analyze project information, user feedback, process observations, and testing results, and clearly communicate findings to team members and subject matter experts.
• Ability to conduct thorough and accurate research, with logical organizational skills and clear, readable writing.
• Ability and desire to learn new techniques and best practices.
• Good interpersonal, collaborative, and communication skills.
• Attention to detail.
• US work authorization at the time of application that does not require future sponsorship; OPT support is not provided.
• Ability to report onsite to New Haven, Connecticut.

Nice To Haves

• Familiarity with Microsoft Excel, OneNote, and PowerPoint.
• Previous experience creating training materials, documenting processes, supporting digital collaboration, or conducting structured testing or data analysis.
• Experience in clinical research or working with clinical regulatory documents.

Responsibilities

• Support selected projects under the guidance of team members and subject matter experts.
• Develop reusable Microsoft Loop and Teams templates, pilot meeting practices, create a meeting-to-artifact playbook and decision/action tracker, and summarize pilot feedback.
• Collect user feedback and priority AI use cases, develop a focused prompt starter pack, and support AI tools and an adoption playbook reviewed by MW subject matter experts.
• Develop and refine prompts for fit-for-purpose generative AI outputs using approved AI tools and document test results for subject matter expert review.
• Collaborate with MW Operations and cross-functional teams to continuously improve processes.
• Create brief training materials or communications to support adoption of internship-developed templates and the prompt starter pack.
• Attend and actively participate in MW Operations and Innovation Project team meetings.
• Present an end-of-internship summary and hand over completed project deliverables, findings, and recommendations to the MW Operations team.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree