Beacon Biosignals
Precision Medicine
SoftwareEngineer-Analytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer - Analytics at Beacon Biosignals. Skills: Analytics pipelines, Scientific software tooling, Data models. Develop, deploy and monitor feature computation and analytics services. Build high-quality composable tooling”
What You'll Achieve.
Scale up scientific outputs; Generate meaningful scientific results; Deliver scientific results at scale; Power clinical diagnostics and trials; Enrich biosignal metrics with clinical context; Accelerate development of novel therapies and diagnostic tools; Deliver reproducible scientific insights at scale
Industry & Context.
What They're Looking For.
Must Have
Extensive practical experience developing production-level software for scientific or analytics applications, monitoring their performance, 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, asynchronous communication skills, making the most of synchronous collaboration
Nice to Have
A background in a relevant scientific or computational field (e.g., neuroscience, statistics, machine learning, clinical trials)
What You'll Do.
deploy and monitor feature computation and analytics services
Build high-quality composable tooling
Transform custom or semi-standardized data workflows
and maintain versioned data models
Contribute to reusable
scalable customer-facing analytics products
Collaborate closely with teams of engineers
Partner with scientists
How You'll Work.
Team & Collaboration
work closely with clinicians and cross-functional stakeholders; collaborate closely with neuroscientists, data scientists, and other engineering teams; work closely with multiple teams to achieve Beacon's analytics product goals; Collaborate closely with teams of engineers, data scientists, and neuroscientists; Partner with scientists, product managers, and stakeholders
Communication Scope
asynchronous communication skills; making the most of synchronous collaboration
Full Job Description
Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. We are the leading at-home EEG platform supporting clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our FDA 510(k)-cleared Waveband EEG headband and AI algorithms enable quantitative biomarker discovery and implementation. Beacon’s Clinico-EEG database contains EEG data from nearly 100,000 patients, and our cloud-native analytics platform powers large-scale RWD/RWE retrospective and predictive studies. Beacon Biosignals is changing the way that patients are treated for any disorder that affects brain physiology. Beacon Biosignals is seeking a talented software engineer to scale up our scientific outputs, which power novel clinical diagnostics and enable therapy development to improve brain health. As part of the Analytics Suites Team, you'll build and maintain scientific software tooling and automated analytics pipelines that process raw biosignal data and machine learning outputs, generate biosignal-derived metrics, and combine them with clinical metadata to render scientific outputs. You will own a wide swath of the analytics stack, from library-level tools to platform-hosted services and versioned data models, CI/CD pipelines, and customer-facing reports and dashboards. This is a product-oriented role - you'll work with clinicians and cross-functional stakeholders to identify high-impact improvements to our analytics platform. You'll also collaborate closely with neuroscientists, data scientists, and other engineering teams to develop composable, reliable tooling that powers both productized analytics and custom scientific endeavors. Why this role? You'll combine rigorous software development practices and a strong understanding of scientific analysis and experimentation to strengthen our analytics platform and deliver reproducible scientific insights at scale. At Beacon, we've found that cultural and scientific impact is driven most
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