Boston, MA
AI-powered EEG platform for neuroscience drug development
Beacon Biosignals builds an FDA-cleared wearable EEG headband and AI platform to capture high-fidelity sleep EEG data at home. It analyzes brain activity for biomarkers, patient stratification, and treatment effects in clinical trials. Serves biopharma for neurology, psychiatry, and sleep disorders.
Develops and integrates hardware-focused EEG and cardiopulmonary device systems from concept through manufacturing, with responsibility for requirements, verification and validation, risk management, and root cause analysis. Requires an engineering degree and at least five years of professional engineering experience, or three years with a master’s degree.
Tests and verifies embedded hardware and firmware for EEG and home sleep-test medical devices, developing protocols, fixtures, automation, and documentation while supporting troubleshooting and regulatory compliance. Requires an engineering degree and 5+ years of experience with a bachelor’s degree, or 3+ years with a master’s degree.
Builds and closes academic and grant-funded research partnerships for Beacon’s EEG and analytics platform, working with principal investigators, academic medical centers, and research consortia. Requires an MD or neuroscience PhD, grant-environment familiarity, commercial partnership experience, and strong scientific communication skills.
Leads the strategy, operations, and growth of a clinical trial site network spanning Beacon’s clinical trials and diagnostics businesses. The role requires 7+ years in regulated healthcare and experience scaling partner networks, structuring institutional agreements, and coordinating cross-functional teams.
Lead and grow a team of 6-10 engineers building Beacon's Analytics Systems for clinical data curation, biomarker computation, and integration of foundation models. Requires 6+ years managing analytics engineering teams in regulated biotech or medical device environments.
Principal Data Engineer building scalable data models, event-driven pipelines, and infrastructure for Beacon's core brain data platform and Datastore. Requires 10+ years backend/data engineering experience, strong SQL/PostgreSQL skills, streaming tools proficiency, and leadership in architecture and mentoring.
Principal Software Engineer on the Datastore team responsible for architecture and design of scalable data models, event-driven pipelines, and data infrastructure serving brain data for clinical and scientific applications. Requires 10+ years backend/data engineering experience, strong SQL/PostgreSQL skills, and proficiency with streaming tools.
Forward Deployed Engineer working directly with external partners to understand data needs, guide API integrations, and build solutions on Beacon's Datastore platform for brain data from clinical studies and home tests. Requires 5+ years data platform experience, customer-facing technical skills, SQL proficiency, and Python.
Own and drive a major multi-year biopharma partnership as the single-threaded commercial lead and relationship manager. Build executive relationships, lead post-contract planning and execution, identify expansion opportunities, and coordinate cross-functionally to deliver scientific, clinical, and commercial objectives.
Lead the full lifecycle of biosignal-based ML and deep learning algorithm development for medical devices at an EEG platform company. Requires 5+ years of ML/DL experience in regulated fields, DSP/statistics proficiency, PyTorch expertise, and strong software engineering practices.
Senior Data Engineer building and scaling the core Datastore platform at the heart of Beacon's brain data infrastructure. Design event-driven pipelines, data models, and APIs; lead technical decisions via RFCs; ensure data integrity for clinical and scientific use. Requires 5+ years backend experience with strong SQL/PostgreSQL and data streaming skills.
Senior Software Engineer building and scaling backend data infrastructure, event-driven pipelines, data models, and APIs for Beacon's brain EEG platform and clinical studies. Requires 5+ years backend experience (2+ in data engineering), SQL/PostgreSQL, streaming tools, and data languages like Python or Julia.
Senior Front-End Engineer building React/TypeScript web applications for EEG data analytics, clinical study management, and at-home diagnostics at a brain precision medicine company. Requires 8+ years front-end experience with data-rich interactive apps, GraphQL, and strong product/UX focus.
Technical Product Manager driving definition and execution of next-generation medical devices and EEG platforms. Owns requirements, roadmaps, and cross-functional development from concept through commercialization in a regulated environment.
Corporate Controller responsible for overseeing accounting, payroll, revenue recognition, internal controls, and financial reporting at a growth-stage biotech company. Requires CPA, 7+ years finance experience (3+ in public accounting), and strong Excel/QuickBooks skills.
Senior Program Manager working with neurologists, scientists, data scientists and engineers to deliver high-quality, reproducible analysis products for brain health. Manages complex cross-functional projects, customer communication, timelines, budgets, and compliance in life sciences.
Lead a team of 7 engineers and a PM building patient-facing React Native mobile apps and native BLE device SDKs for EEG headbands in a regulated health tech environment.
Lead and grow SRE, IT, and security engineering teams at a precision medicine startup. Own reliability, security posture, compliance roadmap (SOC 2, ISO 27001, HITRUST), and incident response for cloud infrastructure supporting ML workloads.
Lead biosignal algorithm development from requirements to production for medical devices, leveraging ML/DL, DSP, and statistics. Requires 4+ years industry experience bringing algorithms into production.
Leads go-to-market strategy for life sciences and diagnostics products, including launches, positioning, messaging, and collateral creation. Partners with clinical, product, and sales teams; requires 6+ years experience in life sciences/healthcare tech and bachelor's degree.