Full Stack Developer Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D
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About this opportunity
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
Job description
We are seeking a motivated Full Stack Developer with exposure to Generative AI technologies to join our team. The candidate will contribute to the development and enhancement of AI-powered applications using React, Python, AWS cloud services, and modern LLM frameworks.
This role is ideal for engineers who have strong software engineering fundamentals and an interest in building cloud-native and AI-enabled applications.
Description of the area
Job Responsibilities
Develop and enhance React-based frontend applications.
Build and maintain backend APIs using Python and FastAPI.
Contribute to AWS-based serverless applications using Lambda and API Gateway.
Integrate AI/LLM services such as OpenAI, Claude, or AWS Bedrock into business workflows.
Support implementation of Retrieval Augmented Generation (RAG) solutions and vector search capabilities.
Work with databases such as PostgreSQL, DynamoDB, and S3.
Collaborate with data scientists and senior engineers to integrate AI models into applications.
Participate in CI/CD pipelines and application deployment activities.
Troubleshoot application issues and contribute to performance improvements.
Follow secure coding and cloud best practices.
Qualifications
Education / Experience
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
1 to 5 years of software development experience.
Experience building web applications using modern frontend and backend technologies.
Exposure to cloud-native development and AI-powered applications is preferred.
Technical Skills
Frontend: React, TypeScript
Backend: FastAPI (Python), AWS Lambda, API Gateway (REST + WebSocket)
Search & Storage: DynamoDB, Aurora PostgreSQL
GenAI & RAG: LangChain, OpenAI, Claude, AWS Bedrock
DevOps: GitHub Actions
You Should Also Have
Strong programming skills in Python.
Experience with React-based application development.
Understanding of API development and integration.
Basic cloud development experience on AWS.
Exposure to Generative AI technologies and LLM-based applications.
Understanding of software engineering best practices.
Strong analytical and problem-solving skills.
Good communication and collaboration abilities.
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Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 1376 comparable Information Technology roles across 76 biopharma companies.
Salary context
183 of 1376 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 1376 comparable roles
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Seniority mix
693 of 1376 peers have a known seniority level
Therapeutic area mix
1 of 1376 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
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How we calculate "similar"
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.