11 - 50 funcionários
🏥 Saúde
💼 Consultoria
📦 Logística
Healthcare • Consulting • Logistics
A Beacon Biosignals é uma empresa focada em impulsionar a medicina de precisão para o cérebro. Sua plataforma de neurobiomarcador de EEG foi projetada para acelerar ensaios clínicos e permitir novos tratamentos para pacientes com doenças neurológicas e psiquiátricas. A plataforma captura uma ampla gama de atividades cerebrais em tempo real e utiliza aprendizado de máquina para analisar dados de EEG em relação à eficácia do tratamento, seleção de dosagem e estratificação populacional. A Beacon Biosignals faz parcerias com empresas biofarmacêuticas, centros médicos acadêmicos e desenvolvedores de neurotecnologia para melhorar o diagnóstico e tratamento de doenças neurológicas e psiquiátricas.
🕒 4 dias atrás
🍂 Massachusetts – Remoto
⏰ Tempo Integral
🟠 Sênior
🔴 Especialista
🧑💻 Engenheiro Full-stack
👻 Score fantasma 22%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Cloud
Distributed Systems
GraphQL
JavaScript
Kafka
Kubernetes
Node.js
Postgres
Pulsar
Python
RabbitMQ
SQL
Terraform
TypeScript
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.
11 - 50 funcionários
🏥 Saúde
💼 Consultoria
📦 Logística
Healthcare • Consulting • Logistics
A Beacon Biosignals é uma empresa focada em impulsionar a medicina de precisão para o cérebro. Sua plataforma de neurobiomarcador de EEG foi projetada para acelerar ensaios clínicos e permitir novos tratamentos para pacientes com doenças neurológicas e psiquiátricas. A plataforma captura uma ampla gama de atividades cerebrais em tempo real e utiliza aprendizado de máquina para analisar dados de EEG em relação à eficácia do tratamento, seleção de dosagem e estratificação populacional. A Beacon Biosignals faz parcerias com empresas biofarmacêuticas, centros médicos acadêmicos e desenvolvedores de neurotecnologia para melhorar o diagnóstico e tratamento de doenças neurológicas e psiquiátricas.
• Lead design and architecture for complex projects and systems within the Datastore • Weigh implementation trade-offs using engineering principles and data • Partner with product managers, scientific and clinical stakeholders, and development and support teams • Translate requirements into integrations, services, and scalable data-platform solutions • Contribute to broader product and technical decisions • Debug and profile ambiguous problems across system boundaries and improve 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 while balancing speed, generalizability, and technical debt • Teach and mentor engineers and provide actionable feedback • Potentially act as project technical lead or engineering-practice coordination point • Improve Datastore operational robustness and ease of use through documentation, tools, and dashboards • Own pipelines that deliver dataset snapshots into the data warehouse • Collaborate across platform, application, and scientific teams to implement APIs for clinical studies and digital health products
• 7+ years of backend development experience, including 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 and production experience with PostgreSQL as an application database • Hands-on experience with data streaming and event processing using Kafka or an equivalent such as RabbitMQ, Pulsar, Amazon Kinesis, or another cloud-based equivalent • Proficiency in Julia or Python; Julia experience is a strong plus but not required • 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 • Collaborative mindset and ability to work across disciplines • Excellent written and verbal communication skills, especially in asynchronous and remote-friendly environments • 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, with sound judgment about guardrails
• No specific benefits or compensation extras stated in the posting
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