Python Developer

you’ll be working on things like:

• Data ingestion and metadata pipelines for whole slide images
• De-identification and integrity checking of WSI files
• Dataset splitting and stratification tools
• Lightweight review and management UIs
• CI, packaging, and test coverage for the above

This is not a backend or frontend role. There’s no microservice architecture to maintain.

The problems are scientific and data-oriented; the solutions are focused,deployable

Python tools.

We integrate AI assistance heavily into our development workflow — from requirements exploration to code review. Comfort working alongside AI tooling is a plus; experience shaping how a team uses it is even better.

What we’re looking for

Essential

• Strong Python — you write clean, testable, well-documented code without being prompted
• Comfort working with data: tabular data, file-based pipelines, validation,

transformation

• Engineering common sense: you can design a simple system, reason about trade-offs, and know when not to over-engineer

Self-directed: given a requirement and context, you can run with it and ask the right questions

Useful background

• Image data or signal processing (library is secondary — OpenCV, scikit-image,

PIL, anything)

• SQL and data warehousing (Snowflake, DBT, or similar)
• CI/CD pipelines and packaging (GitHub Actions, uv, Docker)
• Lightweight UI work in Python (NiceGUI, Streamlit, Gradio, or similar)
• Experience in a regulated or quality-managed environment (medical devices,

clinical, GxP, ISO, automotive, aerospace — any domain where software quality is formally managed)