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 statisticsStream processing and online algorithmsDatabases especially time series databases (victoriametrics), SQL. We have postgres, sqlite, duckdb in our stackComputer vision, machine learningYou 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 processingBuild robust APIs & backends for devices, research tools, and data systemsHandle data transformations, storage, and querying for structured & time-series datasetsEvaluate and improve upon ML models & analytics.Collaborate with hardware & research teams to turn messy real-world data into insightsWe 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.