Beacon Biosignals is looking for a Data Analytics Engineer to design and maintain the canonical data representations and automated data pipelines that power our scientific products. You will transform biosignals and clinical metadata into trusted, versioned analytics products to enable reproducible scientific results at scale.

What You'll Do

Design, implement, and maintain data models and transformations that enrich biosignal metrics with clinical context, powered by our biosignal data warehouse.
Ensure 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 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.

What We're Looking For

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—excited to work closely with multiple teams to achieve Beacon's analytics product goals.
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.

Nice to Have

Experience with dbt is a strong plus, but not required—we welcome candidates who are eager to learn.

Technical Stack

SQL, Snowflake, Databricks, dbt, Julia, Python, R

Team & Environment

You will be a member of the Analytics Suites Team within the Analytics and Machine Learning domain, reporting to the Manager of the Analytics Suites Team.