
Beacon Biosignals
Beacon Biosignals builds an AI platform and FDA-cleared at-home EEG wearables used by biopharma and clinicians to develop and deliver treatments for neurological, psychiatric, and sleep disorders. It sells clinical development services and software for brain-signal analysis to life sciences partners, and operates a diagnostics business providing reimbursable EEG and cardiopulmonary assessments. Founded in 2019 and headquartered in Boston, the company is privately held.
Open Positions at Beacon Biosignals
9 open positions
Lead the design and scaling of Beacon Biosignals’ foundational Datastore platform, with a focus on PostgreSQL, data infrastructure, event pipelines, and GraphQL APIs for clinical and scientific data. This fully remote Staff Software Engineer role offers two paths: broad Datastore systems or deep PostgreSQL and data modeling.
Build native iOS and Android Bluetooth Low Energy connectivity for EEG headbands and wearable devices used in clinical and at-home care. You’ll improve reliability, data streaming, battery performance, and React Native integration for a mission-driven health platform.
Build and lead cross-platform React Native apps used by patients and clinicians to collect high-fidelity EEG and wearable data. This senior role combines mobile UX, device integration, performance, and reliability in support of clinical trials and at-home diagnostics.
Staff Software Engineer joining the Datastore team to design and scale backend data infrastructure powering clinical and scientific brain-data workflows. The role centers on PostgreSQL, Kafka event pipelines, GraphQL APIs, and complex system architecture, with two possible focuses: broad Datastore systems or deep PostgreSQL and data modeling.
Build high-impact React and TypeScript web applications that support clinical studies, EEG data analysis, and at-home patient diagnostics. This fully remote role offers the chance to improve neurological and sleep disorder care through user-centered software.
Senior Algorithm Engineer building and deploying machine and deep learning models for EEG and other biosignal data used in neurological, psychiatric, and sleep disorder care. This fully remote role spans algorithm development, validation, production deployment, and client impact in a regulated medical-device environment.
Build and deploy machine learning and deep learning algorithms for biosignal data, supporting medical-device development and precision diagnostics. This fully remote role combines algorithm research, production engineering, validation, and client collaboration.
Lead the end-to-end development and deployment of machine learning and deep learning algorithms for EEG and other biosignal data used in medical devices and precision medicine. This primarily remote role near Paris combines algorithm innovation, regulated healthcare production, and client-facing collaboration.
Build and deploy machine and deep learning algorithms for biosignal data, helping advance precision diagnostics and therapeutic development. This role spans the full algorithm lifecycle from data curation and experimentation through validation, production, and client impact.