Data Scientist, Beacon Biosignals
+ Equity
AI brain monitoring
Job no longer available
AI brain monitoring
21-100 employees
Job no longer available
+ Equity
21-100 employees
Company mission
To improve human health by enabling rapid, targeted interventions through advanced brain analytics.
Role
Who you are
- You have extensive experience using statistics to answer questions in industry, preferably in health sciences or another highly regulated field
- You're deeply familiar with statistical modeling, including interpretation and diagnostics. You pick the right statistical tool for the job and, perhaps most importantly, you know when that tool is not a model
- You're comfortable overseeing experiments that uniquely leverage data from our clinical partners, public datasets, and our own sensors to aid business decisions for ourselves and our clients
- You're painfully aware that thoughtful data curation is a prerequisite to analysis results that hold up under practical application
- You love teamwork and recognize that people can achieve more together than individually. You value close collaboration, open communication, and tight feedback loops to ensure you and your team are working together effectively and doing your best work
- You have excellent written and verbal communication and listening skills
- You have substantial experience presenting analyses to external audiences; you've learned the hard way what does and does not make an understandable and impactful presentation
- You stay calm and organized to meet tight deadlines amidst significant ambiguity
- You're familiar with and/or are excited to work with the technologies that power Beacon's data systems, including Julia, AWS, Apache Arrow, and GraphQL
- You prefer open source dependencies over closed source dependencies because you have a compulsion to read the code you're running
- You're comfortable working in a highly asynchronous hybrid work environment, and have demonstrated success doing so in the past
What the job involves
- Beacon Biosignals is seeking an experienced data scientist to help us ingest, analyze, and interpret petabytes of EEG data to drive advancements in brain health
- In this role, you'll work alongside fellow data scientists, neuroscientists, engineers, and clinicians as part of Beacon's R&D department to draw meaningful insights from real world data and accelerate neurobiomarker discovery
- You'll also contribute to Beacon's Life Sciences engagements with industry partners that power novel therapies for patients with neurological, psychiatric, and sleep disorders
- This role reports to a manager in R&D and we are open to several levels, depending on past experience and applicable skills
- Collaborate closely with teams of neuroscientists, data scientists, engineers, and other subject matter experts to develop statistical analysis plans for clinical trials, execute analyses, and write up results and interpretations
- Co-author scientific reports whose impact pushes the field past contemporary limitations
- Deliver clear and impactful data visualizations and presentations to varied audiences, both internal and external
- Write and review reusable, documented, tested code that produces polished, high quality analytical results for our partners and powers our core computational pipelines
- Leverage Beacon's products and your own subject matter expertise to inform analysis planning and execution
- Dig into large, messy, unfamiliar datasets, document their idiosyncrasies, and harmonize them with Beacon's datastore
Our take
The brain has long been considered one of the most mysterious fields of medicine - and psychiatric and neurological diseases therefore one of the least understood. Better access to real-time brain data, however, could change this. That’s exactly what Beacon Biosignals is hoping to deliver.
Beacon Biosignals has developed a scalable electroencephalogram (EEG) analytics platform that leverages AI to more accurately and insightfully manage brain data. Its capabilities run from analysing existing data, to identifying and standardising neorobiomarkers, to continuously aggregating and analysing trial data.
The hope is that this will help clinical brain researchers carry out faster and more accurate work, ultimately accelerating the pace of treatment development in neurology. It’s a smart new AI application, and Beacon Biosignals is acquiring new companies to scale and receiving handsome funding - but for that reason the company isn’t alone in pursuing it. Bitbrain is also developing neurology AI, although with a tighter focus on product development. This may help differentiate Beacon Biosignals in what is still a relatively new market area.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2025
$86m
SERIES B
Nov 2021
$27m
SERIES A
Total funding: $116.5m
Company HQ
Beacon Hill, Boston, MA
Leadership
Jarrett Revels
(Co-Founder & CTO)Previously a Software Engineer at MissionFocus, who then moved into various engineering and research roles at MIT.
Jacob Donoghue
(Co-Founder & CEO)Completed a Neuroscience PhD at MIT, and received his MD from Harvard Medical School. Subsequently carried out research for Cyberkinetics Neurotechnology Systems and Massachusetts General Hospital.
Brandon Westover
(Co-Founder)Received his MD from Washington University School of Medicine, then took up a Neurology residency at Harvard Medical School. Alongside his work at Beacon Biosignals, is also an HST Faculty member at MIT and a Neurologist/Medical AI Researcher at Massachusetts General Hospital.
Syd Cash
(Co-Founder)An Associate Professor at Harvard Medical School, who also leads the Center for Neurotechnology and Neurorecovery at MGH.
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