The Oncology Data Science (OncDS) team in Biomedical Research provides computational biology, AI, and data expertise and brings together projects spanning the entire pre-clinical to clinical development pipeline across a wide and unique range of novel therapeutics. OncDS specializes in using high-throughput genomic and biomarker data for target identification, drug discovery, and clinical development.

We are seeking a Full Stack Software Engineer for hands-on full stack development of tools that manage our critical datasets, and visualize those data to create scientific insights.

Join a team that values curiosity, collaboration, innovation, and growth, and make a meaningful impact at the intersection between cutting-edge science and technology.

Duration: 01.11.2025 - 31.12.2026

Workload: 80-100%

Your key responsibilities:

• Collaborate with cross-functional teams to develop maintainable backend of data curation application using Python frameworks
• Optimize existing applications, and troubleshoot / debug when needed
• Ensure best practices are followed, including testing and CI/CD

What you’ll bring to the team:

• Solid understanding of software architecture patterns
• Curiosity, creativity, strong organizational skills, solution-oriented problem solving
• Ability to work independently and in a team, prioritize tasks, determine project next steps, manage multiple projects simultaneously
• Excellent written and verbal communication skills, including the ability to explain complex concepts to diverse audiences

Core skills:

• Extensive experience with Python development, including Dash
• Experience with Linux
• Experience with git

Nice to have:

• Experience working with scientific or biological data
• Experience with React.js, TypeScript, and Bootstrap for front-end development
• Knowledge of package management using Conda and Node.js
• Knowledge of relational databases
• Comfortable designing and using APIs, for example with FastAPI and AWS Redshift