Senior Full-stack Software Engineer

Location: Warsaw, Poland
Hybrid model of work: 3 days in office, 2 remote per week

Position: Senior Full-stack Software Engineer

Are you a senior software engineer who wants to see your code make a real difference in drug discovery? Join our growing team building custom software solutions that directly support early drug discovery research at AstraZeneca.

As a Senior Full-Stack Software Engineer, you'll be a technical cornerstone of our team, designing and implementing end-to-end applications, from data processing backends to intuitive user interfaces, that solve complex computational challenges in biomedical research. Working closely with scientists, fellow engineers, and our technical lead, you'll translate scientific requirements into elegant, scalable software solutions while mentoring junior team members and contributing to engineering best practices.

This isn't about building generic enterprise software, it's about creating specialized tools that empower researchers to unlock the mysteries of human biology and accelerate the discovery of life-changing medicines through data-driven insights and AI/ML-enabled workflows.

Please find out more about our team on QuBi

What makes this role exciting?

You'll work across the full technology stack on projects that directly impact drug discovery research—building everything from databases and APIs to front-end scientific interfaces. As a senior member of the team, you'll have meaningful technical input on design and implementation approaches, working collaboratively with our technical lead to deliver robust solutions that scientists depend on daily.

Your work will span both maintaining and evolving our existing scientific computing platform and scoping and building new applications from the ground up. Collaborating directly with world-class scientists, you'll understand their computational needs firsthand and see your solutions deployed in real research environments. You'll contribute to our broader digital transformation efforts, building data-driven workflows and integrating AI/ML capabilities that enable cutting-edge biomedical research and accelerate the path from discovery to patient impact

What You Will Do, Full-Stack Software Development

• Design, develop, and maintain end-to-end software applications spanning front-end interfaces, backend services, APIs, and data processing pipelines
• Write clean, efficient, well-tested, and well-documented code across the full technology stack following modern software engineering best practices
• Maintain and enhance existing scientific computing applications while scoping and building new features and projects
• Work with scientists to understand computational requirements and translate them into technical specifications
   

Technical Collaboration & Quality

• Collaborate with the technical lead and team members on architectural decisions, technology choices, and design approaches
• Conduct code reviews and contribute to establishing engineering best practices across the team
• Participate in project planning, providing technical input on scoping, feasibility, and effort estimation
• Document technical decisions, system architecture, and project requirements to ensure knowledge continuity

Data & AI/ML Integration

• Build and optimize data processing pipelines that support data-driven scientific workflows
• Integrate AI/ML capabilities into applications, enabling advanced analytical features for researchers
• Work with databases, data APIs, and data transformation tools to ensure efficient data flow across systems

Mentorship & Team Support

• Mentor junior engineers and developers, providing guidance on full-stack development practices and problem-solving approaches
• Share knowledge across the team to prevent silos and ensure collective understanding of systems
• Support end-users with troubleshooting and contribute to user-facing documentation and guides

DevOps & Operations

• Participate in CI/CD pipeline development, deployment automation, and production deployments
• Collaborate with IT teams on infrastructure, security protocols, and compliance requirements
• Support incident response and troubleshooting of production issues

Team & Culture

Join the Data Sciences & Quantitative Biology department at our dynamic AstraZen