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About the Role

Join the International Data, Technology and Engineering team for a placement focused on how technology, data and AI can improve the way people work and help bring medicines to patients. You will contribute across three connected areas: supporting responsible AI adoption and experimentation, working as part of product teams, and translating business needs into clear technology requirements. This is a developmental role with meaningful responsibility, starting with structured support and coaching, and growing into opportunities to work with greater independence.

Responsibilities

Help scale adoption of approved AI capabilities by creating practical guidance, supporting learning sessions, gathering feedback and identifying repeatable use cases.
Help plan and deliver an Early Talent Hackathon, including participant engagement, challenge definition, event coordination, team support and communication of outcomes.
Contribute to product team ceremonies and ways of working, including backlog refinement, planning, prioritisation, reviews and action tracking.
Support product managers and product owners with product documentation, roadmap inputs, stakeholder updates, risks, dependencies and outcome tracking.
Support technology activity associated with business growth and product launches, helping coordinate requirements, readiness activities and cross-functional follow-up.
Conduct business analysis through stakeholder conversations, process mapping, research and structured problem definition.
Translate business needs into clear user stories, acceptance criteria, features or other requirements, working with business and technology colleagues to validate understanding.
Prepare concise analysis, presentations and recommendations for varied audiences, including senior stakeholders.
Build effective relationships across International DTE, business teams, global technology groups and other early-talent communities.
Work in line with company policies and applicable requirements for privacy, security, quality and responsible use of technology.

Requirements

Undertaking a university degree and able to complete a 12-month industrial placement as part of your studies.
Strong interest in technology, data, AI and how they can be applied to real business problems.
Curiosity about AI, digital technology, data and product management, with an appetite to learn quickly.
Ability to listen, ask thoughtful questions and turn complex or ambiguous information into a clear structure.
Strong written and verbal communication, with confidence working with colleagues from different disciplines and backgrounds.
Good organisation and attention to detail, with the ability to manage actions, priorities and deadlines.
A collaborative, inclusive and proactive approach, combined with the judgement to ask for support when needed.
Comfort using common productivity and collaboration tools, and willingness to learn new platforms and ways of working.
Commitment to responsible, ethical and secure use of technology and information.
Experience from university, employment, volunteering or extracurricular activity involving technology, analysis, innovation, project delivery or teamwork.
Exposure to AI tools, product or agile methods, hackathons, process mapping, data analysis, user research or requirements gathering.
Interest in biotechnology, healthcare or the use of technology to support better outcomes for patients and customers.

Skills

AI adoption
Product management
Agile ways of working
Modern technology delivery
Communication
Analysis
Facilitation
Stakeholder management
Leadership
Technology
Data
AI
Business analysis
Process mapping
Requirements gathering
Product documentation
Roadmap inputs
Stakeholder updates
Risk tracking
Dependency tracking
Outcome tracking
User stories
Acceptance criteria
Features
Presentations
Collaboration tools

Location

United States
Canada
Europe
Australia

Work Type

Hybrid
On-Site

Experience Level

Early Talent
Industrial Placement

Education Level

University Degree

Benefits

Coaching from experienced DTE colleagues
Opportunities to strengthen communication, analysis, facilitation, stakeholder management and leadership skills.

About the Company

Vertex is a global biotechnology company that aims to discover, develop and commercialize innovative new medicines so people with serious diseases can lead better lives.
Founded in 1989 in Cambridge, MA, Vertex today has research and development sites and commercial offices around the world in the United States, Canada, Europe and Australia.
Vertex is a global biotechnology company that invests in scientific innovation.
At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends.
We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.

Equal Opportunity

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law.
Vertex is an E-Verify Employer in the United States.
Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com