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)