Experience : 6 - 10 years

Reporting to : Director

Role Type : Full-time

About C5i :

C5i is a global AI, Analytics and Data company that helps organizations turn complex business challenges into measurable impact. We combine advanced analytics, artificial intelligence, data engineering and deep industry expertise - delivered by multidisciplinary teams across technology, data science, analytics and consulting - to enable faster, better decision-making.

With a strong focus on innovation, C5i builds proprietary AI-powered solutions, accelerators and platforms, and works with leading global organizations across Healthcare & Life Sciences, Banking, Retail, Consumer Goods, Technology, Media and Manufacturing to scale AI and analytics into meaningful business outcomes.

About the Role :

We're looking for an experienced, hands-on Full Stack Developer to join C5i's technology team on a strategic engagement with a leading global pharmaceutical client. The role sits within a central technology capability supporting R&D and Clinical Operations, building modern, scalable applications in React and Next.js, and using Generative AI / AI-assisted development (vibe coding) to accelerate delivery.

You'll work closely with C5i and client stakeholders to translate business and technical requirements into high-quality, production-ready applications - a role suited to someone who enjoys hands-on building, modern development practices, experimenting with AI-powered coding tools, and delivering in a fast-paced environment.

Key Responsibilities :

- Design, develop and maintain full-stack web applications supporting R&D and Clinical Operations use cases.

- Build responsive, scalable front-end interfaces using React and Next.js, and backend services and APIs using Next.js and related modern web technologies.

- Design integrations, authentication and application services around REST APIs.

- Work with enterprise data sources such as Databricks and Snowflake via pre-built queries, APIs or data services, applying basic SQL and data/analytics understanding.

- Collaborate with C5i teams and client stakeholders to understand requirements and translate them into functional applications.

- Leverage GenAI-assisted development (vibe coding) - including effective prompt engineering, context management and token optimization - to accelerate prototyping and delivery.

- Review, validate, debug and optimize AI-generated code to ensure it meets production-quality engineering standards.

- Participate across the full lifecycle : solution design, development, testing, deployment and production support.

- Troubleshoot application and integration issues across frontend, backend and data-consumption layers.

- Work in an agile environment with frequent/weekly releases, collaborating with globally distributed C5i and client teams, including teams in UK/European time zones.

- Quickly learn new technologies, frameworks and client-specific platforms as the technology capability evolves.

Required Skills & Experience :

1. Full Stack Development - Mandatory :

- 6 - 8 years of hands-on full-stack development experience, with strong expertise in React and Next.js.

- Solid understanding of full-stack architecture - UI, backend services, APIs and application logic - and modern web application design.

- Experience building and consuming REST APIs and working with system integrations.

- Working knowledge of authentication, security, application performance and deployment practices.

- Ability to independently code, debug, test and deploy applications, with a strong grasp of the SDLC and modern engineering practices.

2. GenAI / Vibe Coding - Important :

- Hands-on experience using Generative AI coding assistants / vibe-coding approaches for application development, including prompt engineering, context management and token optimization.

- Ability to give AI coding tools effective context and instructions to generate application components.

- Ability to review, validate, debug and improve AI-generated code - not simply accept it - grounded in strong software engineering fundamentals.

- Curiosity and willingness to experiment with emerging AI-powered development methodologies.

3. Data & Analytics - Basic Requirement :

- Basic SQL proficiency and a working understanding of data and analytics concepts.

- Ability to work with data from platforms such as Databricks and Snowflake via pre-built queries, APIs or data services.

- Deep data engineering experience is not required. Hands-on ADF, PySpark, Spark or Databricks data-engineering work is out of scope for this role.

4. Life Sciences / R&D - Preferred :

- Experience working with Pharmaceutical / Life Sciences clients is highly preferred.

- Exposure to R&D, Clinical Operations or Clinical Development environments, and familiarity with R&D technology/data ecosystems, is an advantage.

- Experience with clinical or R&D technology platforms more broadly is a plus.

Key Competencies :

- Hands-on engineering mindset with a genuine passion for building applications, backed by strong problem-solving and analytical skills.

- Comfortable working end-to-end across frontend and backend technologies, and able to take ownership of delivery independently.

- Ability to effectively leverage AI tools while maintaining strong engineering judgment.

- Ability to translate between business requirements and technical implementation.

- Strong communication and collaboration skills, with the ability to work effectively across global, cross-functional teams.

- Comfortable in a fast-paced environment with short development cycles, frequent releases, and evolving tools and approaches.

- Willingness to overlap with UK/global working hours when required.

Ideal Candidate Profile :

A hands-on Full Stack Developer with strong React and Next.js experience, comfortable using modern AI-assisted development approaches, who can quickly translate business requirements into working, production-ready applications.

Core Skills : React, Next.js, Full Stack Development, REST APIs, Application Architecture, GenAI / Vibe Coding

Working Knowledge : SQL, Data & Analytics, Databricks / Snowflake (data consumption)

Preferred : Pharma / Life Sciences, R&D / Clinical Operations, Clinical & R&D Technology Platforms

Not Required : ADF, PySpark, Spark, Deep Data Engineering, Databricks Data Engineering