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 AstraZeneca R&D site in Warsaw—a global, diverse, and delivery-focused organization where collaboration drives impact. Our department brings together computational scientists, software engineers, and data specialists from diverse backgrounds, representing multiple nationalities and perspectives.
We foster an inclusive environment where innovation thrives, continuous learning is encouraged, and every team member's unique expertise contributes to our shared mission.
Working closely with experimental scientists, IT teams, and external partners, we're building the computational infrastructure that powers AstraZeneca's drug discovery pipeline. If you're excited about applying your technical leadership skills to solve real scientific challenges and want to see your work translate into better treatments for patients, we'd love to hear from you.
What we are looking for
Essential:
- Bachelor's degree with 7+ years or Master's/PhD in Computer Science, Software Engineering, or related technical field with 5+ years of professional full-stack software development experience
- Demonstrated track record of designing, building, and delivering production applications from conception to deployment
- Strong proficiency in Python for backend development, with deep understanding of modern Python frameworks (FastAPI, Flask, Django) and scientific computing libraries (NumPy, pandas, scikit-learn)
- Solid experience with modern frontend development using TypeScript/JavaScript and contemporary frameworks (React, Vue, or Angular)
- Hands-on experience designing and implementing databases (SQL and NoSQL), including schema design, query optimization, and building API layers for application-database communication
- Proven experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker), CI/CD pipelines, and deploying/maintaining production services
- Strong software engineering practices including version control (Git), automated testing, comprehensive documentation, and effective code review
- Excellent problem-solving and debugging skills across the tech stack
- Strong communication and collaboration skills with ability to work effectively with both technical teams and scientific stakeholders
- Experience mentoring developers or actively contributing to team knowledge sharing and growth
Desirable:
- Experience working in scientific computing, bioinformatics, or pharmaceutical/biotech environments
- Familiarity with data engineering concepts, ETL pipelines, and working with large datasets
- Front-end development experience with modern frameworks (React, Vue, Angular)
- Knowledge of database technologies (SQL and NoSQL)
- Experience mentoring or leading small development teams
What’s next?
If your passion is science and you want to be part of a team that makes a bigger impact on patients’ lives, then there’s no better place to be.
We look forward to find out more about you. Send in your application as soon as possible, but no later than Feb 28th. We will review applications continuously.
Date Posted
09-lip-2026
Closing Date
15-lip-2026
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
