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Vertex Pharmaceuticals

Develops therapies for serious genetic diseases

Human-AI Work and Organization Design Co-op - Human-AI Work and Organization Design

Learning & DevelopmentConfirmed live in the last 24 hours
Internship · Year-roundBoston, MA, USA$30 - $50 /hr

About the Job

Requirements

  • Currently pursuing a master's degree, doctoral degree, or equivalent graduate-level program in a relevant field, such as organization design or organizational behavior, industrial-organizational psychology, human-computer interaction, management, strategy, operations, sociology, anthropology, organizational sociology, learning sciences, organizational learning, systems design, service design, process design, information systems, data science, or another interdisciplinary field focused on human-AI interaction.
  • Strong interest in the future of work, artificial intelligence, human-AI collaboration, organization design, and/or workforce transformation.
  • Demonstrated ability to conduct structured research and synthesize findings from academic research, practitioner experience, interviews, and work products.
  • Experience using AI tools to evolve one's own ways of working, such as reviewing or synthesizing information, developing deliverables, or automating tasks.
  • Strong conceptual and systems-thinking skills, including the ability to connect task, process, role, team, workforce, and organization-level implications.
  • Strong written, verbal, and visual communication skills.
  • Ability to translate complex information into practical frameworks, tools, playbook content, and executive-ready materials.
  • Ability to work effectively in an environment where methods, technologies, and organizational requirements continue to evolve.
  • Ability to manage defined work independently while collaborating with experienced practitioners and cross-functional partners.
  • Legal authorization to work in the United States, now and in the future.
  • Must be enrolled in an advanced degree program if graduating before May 2027.
  • Must be available to work full-time, 40 hours per week from January through July 2027.

Responsibilities

  • Partner with Human-AI Design Leads across transformation pods to document design decisions, methods, challenges, and lessons learned.
  • Review pod-level outputs, including future-state processes, task and work inventories, role definitions, team structures, organization designs, and workforce impact analyses.
  • Identify recurring patterns, differences, and unresolved questions across transformation initiatives.
  • Distinguish broadly transferable practices from approaches specific to a function, process, or business context.
  • Translate pod-level experience into concise case studies, research summaries, design guidance, and recommendations for methodology improvements.
  • Help refine the methodology used by Human-AI Design Leads to analyze work at the task level and identify opportunities to automate, augment, simplify, or reallocate work.
  • Support development of frameworks for determining which activities should be performed by people, AI agents, or a combination of both.
  • Help improve methods for translating future-state processes into role definitions, team structures, decision rights, workforce implications, and organization designs.
  • Identify methodology gaps based on evidence from active transformation work and relevant external research.
  • Support continued development of Vertex's playbook for executing end-to-end human-AI work transformations.
  • Research how AI-enabled work may affect roles, team composition, organizational structures, coordination mechanisms, and spans of responsibility.
  • Explore how teams may evolve when people work alongside AI assistants and autonomous or semi-autonomous agents.
  • Help adapt established organization design principles and tools for work environments in which AI performs a meaningful share of tasks.
  • Research emerging approaches for measuring the impact of AI-enabled work and organization redesign.
  • Help distinguish measures of AI deployment or usage from measures of sustainable business and organizational impact, and identify potential qualitative and quantitative methods for evaluating human-AI workflows and transformation outcomes.
  • Work with Human-AI Design Leads to identify measures that can be applied consistently across pods while accounting for differences in business context.
  • Research effective approaches for transferring learning among groups participating in Vertex's AI transformation.
  • Help establish a recurring process through which Human-AI Design Leads share methods, findings, challenges, and reusable solutions.
  • Support workshops, retrospectives, working sessions, and communities of practice focused on human-AI work design.
  • Prepare cross-pod learning summaries, presentations, research briefs, and playbook updates.
  • Surface emerging questions requiring additional research, experimentation, or leadership decisions.
  • Help shorten the learning cycle between pod-level experimentation and enterprise-level methodology improvement.
  • Build productive working relationships with Human-AI Design Leads and selected partners across business functions, HR, technology, data, transformation, change, and learning.
  • Participate in selected pod working sessions to observe how human-AI design methods are applied in practice.
  • Conduct interviews, working sessions, artifact reviews, and structured retrospectives to capture knowledge.
  • Facilitate organizational learning and knowledge transfer.

About the Company

Vertex Pharmaceuticals

Develops therapies for serious genetic diseases

Vertex Pharmaceuticals develops medicines for serious diseases, with a focus on cystic fibrosis. It conducts extensive research and partners with other biotech firms to discover and develop new therapies, including ex vivo engineered cell treatments. Its products, such as ivacaftor, treat cystic fibrosis and other therapies undergo clinical testing to expand the pipeline. Revenue comes from selling approved drugs and from licensing and collaboration agreements. The company distinguishes itself through deep R&D investment, strategic partnerships, and a global reach aimed at addressing unmet medical needs. The overall goal is to bring effective new drugs to patients worldwide and improve outcomes and quality of life.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Boston, MA
Founded
1989

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