Data Analytics Engineer, Beacon Biosignals
+ Equity
AI brain monitoring
Open for applications
AI brain monitoring
21-100 employees
Open for applications
+ Equity
21-100 employees
Company mission
To improve human health by enabling rapid, targeted interventions through advanced brain analytics.
Role
Who you are
- Extensive experience developing, testing, and maintaining SQL transformations to deliver reproducible analytic results in a production setting atop data platforms such as Snowflake or Databricks
- Experience with dbt is a strong plus, but not required - we welcome candidates who are eager to learn
- Proficiency in a scientific programming language such as Julia, Python, or R
- A rigorous approach to documentation and automated testing
- Experience deploying automated analytics pipelines to a production environment, monitoring their performance, and maintaining them over time
- 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
- Product-oriented intuition for turning individual stakeholder needs into configurable solutions and broadly applicable features
- Familiarity with or interest in learning about analyses that power clinical trials, clinical diagnostics, or other medical applications that leverage data organization, transformation, and statistics
What the job involves
- Beacon Biosignals is seeking an experienced data analytics engineer to strengthen our analytics layer and accelerate advancements in clinical diagnostics and therapies designed to improve brain health
- As a member of the Analytics Suites Team, you'll design and maintain canonical data representations and automated data pipelines that power our scientific products, from automated scientific reports to interactive dashboards
- You’ll also help develop and monitor the team’s automated biosignal processing pipelines that generate the analytics layer inputs
- This is a product-oriented role - you'll work alongside engineers, product managers, scientists, and clinicians to turn scientific questions into robust, versioned data products
- This role reports to the manager of the Analytics Suites Team within the Analytics and Machine Learning domain at Beacon
- Your work will transform biosignals, derived metrics, and clinical metadata into trusted, versioned analytics products that enable reproducible scientific results at scale, empowering scientists and clinicians to advance therapy development and expedite patient diagnosis
- Design, implement, and maintain data models and transformations that enrich biosignal metrics with clinical context, powered by Beacon's biosignal data warehouse
- Ensure that data pipelines and products produce reproducible results by owning CI test suites and versioning strategies for data models, dashboards, and reports
- Build reusable, scalable customer-facing analytics products, such as automated scientific reports and dashboards that can be configured and reused without custom engineering
- Improve user documentation and tooling to enable customers and internal scientists to use the analytics layer surface to answer new scientific questions
- Deploy and monitor analytics and feature computation services that transform raw biosignal data and clinical metadata to generate meaningful scientific results
- Collaborate with scientific subject matter experts, product managers, and customers to identify high-impact analytics improvements that accelerate therapy development
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 scaleable 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 standardizing neorobiomarkers, to continuously aggregating and analyzing 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
(CTO)Previously a Software Engineer at MissionFocus, who then moved into various engineering and research roles at MIT.
Jacob Donoghue
(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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job