you'll build systems and apis to collect, curate, and analyze data generated by biomedical dogs, devices and patient data.
immediate requirements
- apis & backends handling ehr data, time-series sensor streams, and sensor/hardware integrations via rest apis
- data pipelines & analytics for physiological, behavioral, and neural signals
- ml & statistical models for biomedical & detection dog research
- web & embedded integrations connecting software to real-world devices
you should be familiar with at least a few of the following domains:
- signal processing and basic statistics
- stream processing and online algorithms
- databases especially time series databases (victoriametrics), sql. we have postgres, sqlite, duckdb in our stack
- computer vision, machine learning
you should be an expert in either python, c++, or rust. our stack is python-heavy with a few modules written in rust/c++ where needed. firmware is written in c/c++ (or rust). if you plan to write c++/rust, you may have to generate a python api using pybind11/pyo3.
what you'll do
- develop data pipelines for real-time & batch processing
- build robust apis & backends for devices, research tools, and data systems
- handle data transformations, storage, and querying for structured & time-series datasets
- evaluate and improve upon ml models & analytics.
- collaborate with hardware & research teams to turn messy real-world data into insights
we prioritize data integrity and correctness over brute-force scaling. if you like building reliable software and working with complex real-world data, let's talk.
