Full Stack Developer
Listed on 2026-10-17
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Software Development
Backend Developer, Python, Full Stack Developer
Global Data Healthcare operates an intelligence platform that empowers leaders to act decisively in a world of complexity and change.
By uniting proprietary data, human expertise, and purpose-built AI into a single, connected platform, we help organizations see what s coming, move faster, and lead with confidence.
Our solutions are used by over 5,000 organizations across the world s largest industries, delivering tailored intelligence that supports strategic planning, innovation, risk management, and sustainable growth.
Why join Global Data?Global Data Healthcare is Global Data s largest division, and at a pivotal point in its growth journey. Following multiple acquisitions and having recently received transformational investment, we are in the process of being carved out from the main Global Data business. We need curious, ambitious, courageous people to support us in achieving our vision to deliver intelligence that transforms uncertainty into opportunity for the world s most successful organizations.?
Our big ambitions mean that life at Global Data Healthcare is fast paced, entrepreneurial and rewarding. Working together in an intellectually challenging environment, where learning is super-charged to keep us on our toes, the highly stimulating, fast-paced, global environment we operate in, and our bold ambitions result in unique learning opportunities for our people.
The roleGlobal Data Healthcare is building an AI-enabled competitive intelligence platform for the pharmaceutical market. It supports our consulting teams in tracking competitor drugs, clinical trials, regulatory decisions and market news for pharma clients, combining Global Data's data, continuous monitoring of external sources, AI-assisted analysis and the expertise of our consultants. The platform runs on AWS, with a Python and PostgreSQL back end and a React front end.
We are forming a small Birmingham-based team to develop and run it.
You will build and develop the web application our consultants use every day to manage competitive landscapes, forecast timelines and the review and sign-off of intelligence for pharma clients. You will work across the React user interface and the Python services behind it.
What you ll be doing- Develop new features end to end, from database and API through to the user interface.
- Build clear, usable interfaces for complex, data-rich workflows.
- Work directly with users to gather feedback and improve the application.
- Maintain code quality through testing, code review and shared standards.
- Help keep the application secure, performant and consistent as it grows.
- At least 2 years' commercial experience with React and Type Script, ideally on data-rich business applications.
- Experience building REST APIs, ideally in Python (e.g. FastAPI).
- Good working knowledge of SQL and relational databases, ideally PostgreSQL.
- Good judgement on user interface design, with or without a dedicated designer.
- Understanding of authentication, access control and web application security.
- Experience building products that present or work alongside AI-generated content.
- Experience with applications hosted on AWS, and CI/CD.
- Background in life sciences, healthcare or market intelligence.
In addition to a rewarding career, we support our Global Data Heathcare colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about the roles and benefits on offer in your region, visit (url removed)
Global Data Healthcare believes strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, we are proud to be an Equal Opportunity Employer. Global Data Healthcare is determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.
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