Software Development Engineer, Health & Wellness, Health Tech

Description
This is a unique opportunity to join a small, high-impact team applying machine learning and bioinformatics to health initiatives. You will lead the architecture and implementation of the ML systems that take genomic, proteomic, and clinical signal from raw biology to actionable predictions — and you'll do it on a team where engineering decisions directly shape scientific outcomes.

If you're passionate about building robust, scalable systems for ML in the life sciences — high-throughput pipelines for sequencing and multi-omics data, low-latency inference services for biological foundation models, and the surrounding tooling that makes model iteration fast and reproducible — this role is for you. You'll design and implement high-performance APIs and data pipelines, integrate ML models into production environments, and ensure the reliability and efficiency of our bioinformatics workflows. You'll work elbow-to-elbow with ML researchers, computational biologists, an...