11 - 50 employees
đĽ Healthcare
đź Consulting
đŚ Logistics
Healthcare ⢠Consulting ⢠Logistics
Beacon Biosignals is a company focused on powering precision medicine for the brain. Their EEG neurobiomarker platform is engineered to accelerate clinical trials and enable new treatments for patients with neurological and psychiatric diseases. The platform captures a rich array of the brain's activity in real time and utilizes machine learning to analyze EEG data for treatment efficacy, dose selection, and population stratification. Beacon Biosignals partners with biopharma companies, academic medical centers, and neurotechnology developers to improve the diagnosis and treatment of neurological and psychiatric diseases.
đĽ 13 hours ago
đşđ¸ United States â Remote
đľ $170k - $190k / year
â° Full Time
đ´ Lead
đ° Data Engineer
đť Ghost score 10%
Distributed Systems
GraphQL
JavaScript
Kafka
Kubernetes
Node.js
Postgres
Pulsar
Python
RabbitMQ
SQL
Terraform
TypeScript
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11 - 50 employees
đĽ Healthcare
đź Consulting
đŚ Logistics
Healthcare ⢠Consulting ⢠Logistics
Beacon Biosignals is a company focused on powering precision medicine for the brain. Their EEG neurobiomarker platform is engineered to accelerate clinical trials and enable new treatments for patients with neurological and psychiatric diseases. The platform captures a rich array of the brain's activity in real time and utilizes machine learning to analyze EEG data for treatment efficacy, dose selection, and population stratification. Beacon Biosignals partners with biopharma companies, academic medical centers, and neurotechnology developers to improve the diagnosis and treatment of neurological and psychiatric diseases.
⢠Lead design and architecture for complex projects and systems within the Datastore ⢠Translate product, scientific, clinical, development, and support requirements into integrations, services, and scalable data-platform solutions ⢠Make broader product and technical decisions for Beacon's data platform ⢠Debug and profile ambiguous problems across system boundaries and improve code structure, test coverage, and tooling ⢠Implement features with high standards for data integrity, design soundness, and maintainability ⢠Draft RFCs and lead complex feature discovery and technical design phases ⢠Plan individual and team work, balancing speed, generalizability, and technical debt ⢠Teach and mentor engineers, provide actionable feedback, and potentially serve as project tech lead ⢠Improve Datastore operational robustness and usability through documentation, tools, and dashboards ⢠Own pipelines delivering dataset snapshots into the data warehouse ⢠Collaborate across platform, application, scientific, and clinical teams to implement APIs and support clinical-study and digital-health workflows ⢠Design and scale PostgreSQL data models, Kafka-driven event pipelines, and GraphQL APIs
⢠7+ years of backend development experience ⢠At least 3 years focused on data platforms and backend infrastructure for data-centric applications ⢠Highly proficient in at least one of: data modeling, distributed systems, API design, or database engineering ⢠Strong proficiency in SQL ⢠Production experience with PostgreSQL as an application database ⢠Hands-on experience with data streaming and event processing using Kafka, RabbitMQ, Pulsar, Amazon Kinesis, or equivalent ⢠Proficiency in Julia or Python ⢠Experience with GraphQL and TypeScript/JavaScript (Node.js) ⢠Experience deploying and operating services in containerized environments ⢠Familiarity with Kubernetes and Infrastructure as Code tools such as Terraform and/or Helm ⢠Track record of mentoring engineers and improving team practices, tooling, test coverage, or documentation ⢠Excellent written and verbal communication skills ⢠Self-directed approach and experience thriving in hybrid or fully remote teams ⢠Experience with or interest in LLM-assisted or agentic coding tools in production settings ⢠Collaborative mindset
⢠Equity ⢠PTO ⢠Remote work from anywhere in the U.S. ⢠Asynchronous work practices ⢠In-person office hubs in Boston, New York City, and Paris
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