Systems Engineer, Beacon Biosignals
+ Equity
AI brain monitoring
Be an early applicant
AI brain monitoring
21-100 employees
Be an early applicant
+ Equity
21-100 employees
Company mission
To improve human health by enabling rapid, targeted interventions through advanced brain analytics.
Role
Who you are
- Education: BS in engineering or related field
- Work Experience (post-graduate): 5+ years of professional engineering experience with BS degree or 3+ years of professional engineering experience with MS degree
- You have experience with writing detailed technical specifications and documentation, including system requirements, design documents, standard operating procedures and test reports
- You have experience with stack-up analysis, preferably using SolidWorks
- You have experience with troubleshooting, debugging, and root cause analysis of issues in electromechanical systems
- You have experience with tools like Git/JIRA/Confluence and platforms like GitHub
- You have experience with scripting languages such as Python
- Preferably, you have experience in supplier management
- Preferably, you have experience with injection molding and design for manufacturability (DFM)
- Preferably, you have the knowledge of design controls and regulations for medical devices
What the job involves
- In this exciting and challenging role as the systems engineer specializing in hardware, you will contribute to the development of new, modified EEG device systems that meet application, business, customer, and regulatory requirements. You will be working in the Device Team, reporting to the VP of Device Systems and working closely with hardware, firmware, software engineers, and product managers. You are responsible for system integration, design transfer to manufacturing, system root cause analysis, stack-up analysis, manufacturing processes, manufacturing validations, key component sourcing, and supplier management
- Your goal as a systems engineer is to strive without reserve for the greatest quality and reliability in our products. To accomplish this goal, you will collaborate with other design, research, manufacturing, and quality colleagues to develop products from concept to commercialization. You will contribute to product ideation, development, integration verification, and manufacturing. Additionally, you will document design and production processes in accordance with applicable product development procedures, quality, and regulatory requirements
- What success looks like:
- Develop and maintain device development in accordance with Beacon’s QMS
- Apply systems engineering principles and best practices to new product development
- Implement verification and validation with proper system, hardware, and software components traceability. Develop and execute test plans, test cases, and procedures to assess system performance, functionality, and reliability
- Interface with product management, algorithm development team, and platform team to ensure smooth integration of sub-systems of Beacon’s products
- Support and write technical and process related documents
- Develop and maintain manufacturing procedures and records
- Improve the manufacturing process to eliminate waste, reduce cost, and improve yield
- Support the transition of devices from development to production and lead root cause analysis of issues in production at suppliers and contract manufacturers
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 3 rounds)
Nov 2021
$27m
SERIES A
Jun 2019
$3m
SEED
Total funding: $30.5m
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.
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