Senior Software Engineer, Analytics

🕒 Janeiro 6

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Bayesian Health

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

⚕️ Seguro de Saúde

🧬 Biotecnologia

Artificial Intelligence • Healthcare Insurance • Biotechnology

A Bayesian Health é uma empresa de tecnologia em saúde que se concentra em transformar dados de saúde em insights clínicos acionáveis através de sua plataforma de IA adaptativa. A plataforma possibilita a Aumento Inteligente do Cuidado, permitindo que os cuidadores ofereçam um cuidado proativo e de maior qualidade, resultando em melhores desfechos de saúde para os pacientes. Com uma base de extensa pesquisa no campo, a Bayesian Health visa capacitar médicos e equipes de cuidado com dados em tempo real para melhorar a tomada de decisões e salvar vidas.

Descrição

• Lead the development of clinical AI/ML product analytics infrastructure, frameworks, and tools to enable client success. • Partner with client success and clinical product subject matter experts to implement infrastructure, queries, and automation to monitor KPIs and success metrics. • Build frameworks and tools for clinical reviews and investigations of reported cases. • Propose and implement foundational improvements for data platform scalability and team analytics capabilities. • Drive product analytics development cross-functionally with various teams.

🎯 Requisitos

• BS in Computer Science or other relevant technical discipline. • 5+ years of experience in building scalable, secure analytics infrastructure and tools on a cloud platform (preferably AWS) to produce monitoring metrics and investigational data from complex data models and queries for live products and customers. • Proficient in Python and SQL. • Deep knowledge in modern data and analytics technologies, such as cloud-based data warehouses, transformation frameworks (e.g. dbt), workflow orchestration tools, and BI tools like Tableau or Quicksight, and keen ability to integrate with existing infrastructure to enhance capabilities. • Experience working with sensitive data that contains PHI/PII. • Excellent communication skills and a proven ability to collaborate with cross-functional teams (data science, product, clinical) to translate requirements into robust technical solutions • Experience in leveraging LLMs in distributed data processing and analytics systems. • Experience building analytics technology for clinical/health data. • Experience handling ambiguity and uncertainty in a startup.

🏖️ Benefícios

• Health insurance • Flexible work arrangements • Professional development opportunities