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Internship Brain Machine Interface Jobs in Boston, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... world - Experience with Machine Learning, Computer Vision, Signals Processing preferred ...

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... world - Experience with Machine Learning, Computer Vision, Signals Processing preferred ...

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Internship Brain Machine Interface information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do internship brain machine interface jobs pay per year?

As of Aug 8, 2026, the average yearly pay for internship brain machine interface in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a brain machine interface internship?

As a Brain Machine Interface (BMI) intern, you'll typically assist with experimental design, data collection, and analysis involving neurophysiological signals, such as EEG or intracortical recordings. You may help develop or test algorithms for signal processing and decoding brain activity, or support the integration of hardware and software systems. Collaboration with neuroscientists, engineers, and software developers is common, so you’ll gain exposure to both research and technical development environments. Interns often have the opportunity to contribute to ongoing research publications or product development, which can be valuable experience for future roles.

What are the key skills and qualifications needed to thrive as an internship brain machine interface?

To thrive in a Brain Machine Interface internship, you typically need a background in neuroscience, biomedical engineering, computer science, or a related field, with coursework or experience in signal processing and neural data analysis. Familiarity with programming languages like Python or MATLAB, as well as experience with neural recording systems and data acquisition tools, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and contribute meaningfully to research teams. These skills enable interns to support innovative projects at the intersection of neuroscience and technology, ensuring they can learn quickly and add value to complex research environments.

What is an internship brain machine interface?

Internship Brain Machine Interface positions are short-term roles typically offered to students or recent graduates to gain hands-on experience working with brain-machine interface (BMI) technologies. These internships involve assisting with research, development, and testing of systems that connect the human brain to external devices, often in fields like neuroscience, biomedical engineering, or computer science. Interns may work on tasks such as data analysis, programming, hardware development, or conducting experiments under the supervision of experienced professionals. The goal is to provide practical exposure and skill development in cutting-edge neurotechnology.

What is the difference between Internship Brain Machine Interface vs Research Assistant in Brain-Computer Interface?

AspectInternship Brain Machine InterfaceResearch Assistant in Brain-Computer Interface
Required CredentialsEnrolled in relevant undergraduate or graduate programGraduate degree or ongoing research experience in neuroscience or engineering
Work EnvironmentInternship setting, often in labs or tech companiesAcademic or research institution labs
Employer & Industry UsageTech companies, startups, research labsUniversities, research institutes, industry R&D
Common Search & Comparison IntentUnderstanding internship roles in BMIResearch roles in brain-computer interfaces

While both roles involve working with brain-machine interface technology, an Internship Brain Machine Interface typically targets students gaining initial industry experience, whereas a Research Assistant in Brain-Computer Interface usually involves more advanced research responsibilities within academic or research institutions.

What are popular job titles related to Internship Brain Machine Interface jobs in Boston, MA? For Internship Brain Machine Interface jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Internship Brain Machine Interface jobs in Boston, MA look for? The top searched job categories for Internship Brain Machine Interface jobs in Boston, MA are:
What cities near Boston, MA are hiring for Internship Brain Machine Interface jobs? Cities near Boston, MA with the most Internship Brain Machine Interface job openings:
Infographic showing various Internship Brain Machine Interface job openings in Boston, MA as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, 4% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

Vice President of Technology (Boston)

Kinetica

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Company Overview

A pioneering neurotechnology organization developing scalable, human-relevant brain models that exhibit memory, learning, and cognitive functions. The company integrates tissue engineering, neural interfacing technologies, and advanced computational methods to improve the prediction of therapeutic efficacy and safety in humans.

A central component of its platform is Organoid Intelligence (OI)—an emerging field that combines human brain organoids with brain–machine interfaces to model cognitive processes in vitro. This enables discovery of novel functional biomarkers with significant potential impact on drug development for neurological and neurodegenerative diseases.

The platform is currently being adopted by multiple global pharmaceutical partners to support preclinical research and therapeutic development.

Role Summary

The Vice President of Technology will act as the scientific architect for the organization—driving platform evolution, enhancing translational relevance, and maximizing scientific and commercial impact. This executive will bring deep neuroscience expertise, cross-disciplinary leadership, and the ability to turn complex science into strategic direction and customer-facing value.

Key Responsibilities Scientific Strategy & Platform Leadership
  • Define and evolve the scientific roadmap with a focus on neurological relevance and translational utility
  • Identify and prioritize new use cases, biomarkers, and capabilities that expand platform value
  • Translate complex neuroscience into clear strategic guidance for internal teams and external stakeholders
Scientific Oversight
  • Lead development and validation of brain and peripheral nerve organoid models, neural interfaces, and functional assays
  • Oversee integration of computational tools and AI to strengthen predictive modeling
  • Ensure scientific rigor, reproducibility, and publication-grade data quality
  • Manage distributed scientific teams across multiple R&D sites
Team & Culture
  • Build, mentor, and scale high-performing teams across neurobiology, tissue engineering, and data science
  • Foster a culture of curiosity, accountability, and cross-disciplinary collaboration
  • Champion diversity in scientific thought and hiring
External Engagement
  • Represent the organization at scientific conferences, advisory boards, and industry forums
  • Strengthen partnerships with pharma, academic collaborators, and regulatory thought leaders
  • Support commercial teams with scientific narratives and platform insights
Candidate Profile Required Experience & Expertise
  • PhD or equivalent in neuroscience, neuroengineering, or a related life science discipline
  • 10+ years of leadership experience in life science platforms, tools, biotech, or pharma
  • Demonstrated success advancing neuroscience models or platforms with translational impact
  • Deep expertise in CNS and PNS biology and disease
  • Experience with brain organoids, neural interfacing, or computational neurobiology (preferred)
  • Strong understanding of pharma R&D workflows and translational research challenges
Leadership Attributes
  • Strategic, systems-level thinker able to link scientific innovation to business outcomes
  • Exceptional communicator able to bridge science, strategy, and storytelling
  • Collaborative, values-based leader comfortable in fast-paced, high-accountability environments
  • Target bonus
  • Retirement plan with employer match
  • Comprehensive medical, dental, and vision coverage
  • Life, disability, and AD&D insurance
  • Paid time off
  • Parental and family leave
  • Employee equity participation
Why This Role Matters

This organisation is not simply developing a technology—it is building the capability to meaningfully improve the prediction of human therapeutic outcomes.

The Vice President of Technology will be central to this mission: shaping scientific strategy, driving innovation, and influencing the future of neurotechnology in drug development.

The company is committed to the ethical development of brain-derived systems, with strong attention to best practices related to consciousness, sentience, and responsible innovation.

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