Software Engineer - Analytics

Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. They are seeking a talented software engineer to scale up scientific outputs and build automated analytics pipelines that process biosignal data and machine learning outputs.

Responsibilities:

• 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

Requirements:

• 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!