
Beacon Biosignals is an AI-driven neurotechnology company focused on accelerating drug development for neurological and psychiatric conditions. Their end-to-end platform utilizes FDA-cleared EEG…

Beacon Biosignals is an AI-driven neurotechnology company focused on accelerating drug development for neurological and psychiatric conditions. Their end-to-end platform utilizes FDA-cleared EEG…
What they do: AI-driven neurotechnology: FDA-cleared EEG headbands, cloud datastore, and analytics for biomarkers and clinical-trial support
Founded: 2019
Headquarters: Boston (evidence indicates Boston-based)
Recent financing: Series B upsized to over $97M; cumulative funding reported >$132M
Neurological, psychiatric, and sleep disorders; translational research and clinical-trial biomarker development
2019
Software Development
$86,000,000
Announced $86M Series B (later upsized)
over $97,000,000
Upsized Series B bringing the round to over $97M and cumulative funding to over $132M
General Catalyst listed as lead investor on an earlier round (Series A referenced in records)
“Syndicate includes Innoviva, GV (Google Ventures), S32 (Sanofi Ventures), Catalio Capital Management, General Catalyst, Logos Capital, Casdin Capital, and others”
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 an experienced data scientist/biostatistician to help us collect, ingest, analyze, and interpret petabytes of EEG data to drive advancements in brain health. This role is part of the Biostatistics function within Beacon's Data Science Group. The Data Science Group is a diverse set of talented, dedicated individuals with expertise across neuroscience, biostatistics, data wrangling, and more, who collaborate across the organization and externally to answer scientific questions with data. In this role, you'll work in cross-functional teams to support Beacon's Life Sciences engagements with industry partners that power novel therapies for patients with neurological, psychiatric, and sleep disorders. You'll also collaborate with scientists, engineers, and clinicians to draw meaningful insights from real-world data and accelerate neurobiomarker discovery. This role reports to the manager of the Data Science Group.
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At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and—most of all—a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs located in Boston, New York City, and Paris. For this position, candidates based in the United States are preferred to minimize logistical hurdles and maximize timezone overlap with colleagues and partners.
What success looks like
What you will bring
We welcome applicants who are well established in their careers and those who bring senior-level expertise.
The base salary range for this role is determined based on past experience, specific skills and qualifications. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.
At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.