Data Analytics Engineer

• Design, implement, and maintain data models and transformations that enrich biosignal metrics with clinical context, powered by Beacon's biosignal data warehouse
• Ensure that data pipelines and products produce reproducible results by owning CI test suites and versioning strategies for data models, dashboards, and reports
• Build reusable, scalable customer-facing analytics products, such as automated scientific reports and dashboards that can be configured and reused without custom engineering
• Improve user documentation and tooling to enable customers and internal scientists to use the analytics layer surface to answer new scientific questions
• Deploy and monitor analytics and feature computation services that transform raw biosignal data and clinical metadata to generate meaningful scientific results
• Collaborate with scientific subject matter experts, product managers, and customers to identify high-impact analytics improvements that accelerate therapy development

• Extensive experience developing, testing, and maintaining SQL transformations to deliver reproducible analytic results in a production setting atop data platforms such as Snowflake or Databricks
• Proficiency in a scientific programming language such as Julia, Python, or R
• A rigorous approach to documentation and automated testing
• Experience deploying automated analytics pipelines to a production environment, monitoring their performance, and maintaining them over time
• A collaborative mindset
• Strong asynchronous communication skills and a knack for making the most of synchronous collaboration
• Product-oriented intuition for turning individual stakeholder needs into configurable solutions and broadly applicable features
• Familiarity with or interest in learning about analyses that power clinical trials, clinical diagnostics, or other medical applications that leverage data organization, transformation, and statistics

Experience with dbt is a strong plus, but not required

• Equity
• PTO