Job Description

Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation. Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective. Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation. Spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing. Present results to key stakeholders and assist them in utilizing algorithms for client engagement. Support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development.

About Beacon Biosignals

Beacon Biosignals is on a mission to revolutionize precision medicine for the brain with the leading at-home EEG platform for neurological and psychiatric disorders.

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