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# Software Engineer - Analytics

- **Company:** Beacon Biosignals
- **Location:** Boston, MA, United States (Remote available)
- **Salary:** $150,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Automation of Tests, Python (Programming Language), Machine Learning, DataOps, Software Engineering, Diagnostic Tools, Asynchronous Programming
- **Published:** May 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e434068728532677

## About the Role

Do you have experience in Tooling?, * Extensive practical experience developing production-level software for scientific or analytics applications, monitoring their performance, and maintaining them over time

 * Proficiency in Python, Julia, or another scientific/data-oriented programming language
 * An approach to software development that emphasizes composability, efficiency, and maintainability
 * A rigorous approach to documentation and automated testing
 * A collaborative mindset - you're 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
 * A background in a relevant scientific or computational field (e.g., neuroscience, statistics, machine learning, clinical trials) is preferred but not required - we welcome candidates who are eager to learn!

## Description

* Develop, deploy and monitor feature computation and analytics services that transform raw biosignal data, machine learning outputs, and clinical metadata to generate meaningful scientific results
 * Build high-quality composable tooling that enables data scientists to deliver scientific results at scale
 * Transform custom or semi-standardized data workflows into reusable tools and automated products that power clinical diagnostics and trials
 * Design, implement, and maintain versioned data models and transformations that enrich biosignal metrics with clinical context
 * Contribute to reusable, scalable customer-facing analytics products, such as automated scientific reports, dashboards and purpose-specific dataset views
 * Collaborate closely with teams of engineers, data scientists, and neuroscientists to understand workflow pain-points and inefficiencies that can be resolved with tooling and processes improvements
 * Partner with scientists, product managers, and stakeholders to identify high-impact analytics improvements that accelerate development of novel therapies and diagnostic tools


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