Top Tech Jobs & Startup Jobs in Boston, MA

Lead architecture and development of Beacon’s backend Datastore platform, including PostgreSQL data models, Kafka event pipelines, GraphQL APIs, clinical-data access controls, and warehouse snapshot pipelines. Design scalable systems, tune queries, operate production databases, debug cross-system issues, write RFCs, mentor engineers, and collaborate with scientific, clinical, product, and engineering stakeholders. The role offers breadth across platform systems or depth in PostgreSQL operations and data modeling.

Develops and executes hardware, firmware, and embedded-system testing for EEG and home sleep devices. Responsibilities include creating test plans, protocols, scripts, fixtures, and procedures; conducting functional, integration, system, regression, and verification testing; troubleshooting hardware and firmware issues; performing root-cause analysis; supporting regulatory compliance; documenting quality processes; and improving test automation. The role collaborates with hardware, firmware, software, manufacturing, research, and quality teams and requires working from the Boston office approximately three days weekly.

Lead development of native iOS and Android BLE SDKs connecting EEG headbands and wearables. Own connection reliability, data throughput, battery performance, reconnection, background operation, observability, and streaming robustness across devices and operating systems. Collaborate on firmware interfaces and expose device capabilities to React Native applications through tested native modules. Improve diagnostics, support clinical operations, and shape the mobile platform roadmap.

Own the roadmap and product decisions for Beacon’s clinician- and clinical-site-facing web application. Translate user and business needs into quarterly plans, requirements, and regulated software releases. Collaborate with engineering, design, data science, clinical, regulatory, and commercial teams; conduct user research and usability testing; coordinate dependencies across devices, data pipelines, and machine-learning models; and communicate product decisions, risks, progress, and demos to stakeholders.

Lead development of cross-platform React Native applications for iOS and Android that support EEG wearables, clinical trials, and at-home diagnostics. Own app UX, performance, reliability, observability, offline functionality, and release processes. Collaborate with native mobile, Devices, Platform, Clinical Operations, and design teams to integrate BLE capabilities, improve patient onboarding, validate signal quality, and shape mobile platform strategy.

Lead architecture and development of Beacon’s backend Datastore platform, including PostgreSQL data models, Kafka event pipelines, GraphQL APIs, clinical-data access controls, and warehouse snapshot pipelines. Design scalable systems, tune queries, operate production infrastructure, lead RFCs, debug cross-system issues, mentor engineers, and collaborate with scientific, clinical, product, and engineering stakeholders.

Build and maintain React and TypeScript web applications for EEG analytics, clinical study management, and at-home patient diagnostics. Own user experience, performance, reliability, and observability while designing data-rich workflows and interactive visualizations. Collaborate asynchronously with product designers and cross-functional teams, contribute to roadmap direction, and develop scalable GraphQL consumers. The role involves supporting clinical operations, physician workflows, and diagnostic reporting.

Oversee accounting, payroll, month-end close, revenue recognition, cash management, financial reporting, payroll tax compliance, internal controls, KPI reporting, expense approvals, and finance process improvements. Partner with leadership on forecasting, headcount planning, audits, and financial decision-making while scaling accounting infrastructure and cloud-based finance systems.

Develop, deploy, and maintain machine learning and deep learning algorithms for biosignal and brain data. Lead the full algorithm lifecycle, including requirements, data curation, modeling, validation, production deployment, documentation, testing, and maintenance. Apply DSP and statistical methods, improve internal ML tooling, introduce advanced model architectures, support regulatory-quality processes, present results to stakeholders, and collaborate with clients, clinicians, neuroscientists, and engineers.

Leads the Analytics Systems Team of 6–10 engineers, overseeing team development, engineering quality, project delivery, product direction, roadmap prioritization, and strategic analytics infrastructure. The role guides development of data pipelines, analytics tooling, feature stores, and foundation-model integrations supporting clinical trials, diagnostics, biomarker discovery, and regulated Life Sciences workflows.