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Brain Machine Interface Jobs in Boston, MA (NOW HIRING)

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 ...

Brain Machine Interface information

See Boston, MA salary details

$15

$24

$33

How much do brain machine interface jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for brain machine interface in Boston, MA is $24.79, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.69 per hour, depending on experience, location, and employer.

What is a brain machine interface?

A Brain Machine Interface (BMI) job involves developing technologies that connect the human brain with computers or external devices. Professionals in this field work on designing, testing, and improving neural interfaces to restore lost sensory or motor functions, enhance cognitive abilities, or enable direct brain communication with machines. Roles may include neuroscientists, engineers, and software developers collaborating to advance BMI applications in healthcare, assistive technology, and neuroprosthetics.

What are the typical daily responsibilities of someone working in a brain machine interface position?

Professionals in Brain Machine Interface roles usually divide their time between designing experiments, analyzing neural data, developing and testing interface prototypes, and collaborating with cross-disciplinary teams such as neuroscientists, engineers, and clinicians. They may also be involved in writing technical documentation, participating in regulatory compliance activities, and keeping up with the latest scientific literature. Depending on the project, work can flow between laboratory research and computational tasks, requiring flexibility and an eagerness to learn new techniques. The environment is often collaborative and research-focused, providing ample opportunities to contribute to exciting advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the brain machine interface position, and why are they important?

To thrive in a Brain Machine Interface (BMI) role, you need a strong background in neuroscience, biomedical engineering, computer science, or a related field, often supported by advanced degrees or specialized training. Proficiency with signal processing software (such as MATLAB or Python), brain imaging tools, and hardware prototyping is typically required, along with familiarity with regulatory standards. Strong problem-solving skills, collaboration, and attention to detail help individuals excel in multi-disciplinary teams working at the intersection of biology and technology. These competencies are crucial for developing safe, effective interfaces and driving innovation in this fast-evolving field.

What are the most commonly searched types of Brain Machine Interface jobs in Boston, MA?

The most popular types of Brain Machine Interface jobs in Boston, MA are:

What are popular job titles related to Brain Machine Interface jobs in Boston, MA?

For Brain Machine Interface jobs in Boston, MA, the most frequently searched job titles are:

Infographic showing various Brain Machine Interface job openings in Boston, MA as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $51,569 per year, or $24.8 per hour.

Research and Development Intern - In vivo and Preclinical support

Axoft

Cambridge, MA • On-site

Other

Posted 6 days ago


Job description

R&D Intern

Axoft is building the most advanced and scalable platform for implantable brain–machine interfaces. Our mission is to enable minimally invasive, long-term stable, and ultrahigh-bandwidth communication with the brain—unlocking new therapies and treatments for neurological disorders and physical disabilities. We have bridged the gap between electronic and biological materials to create the softest, nanofabricated brain implants in the world. We are now expanding our interdisciplinary team with individuals who are passionate, results-driven, and committed to solving complex problems with creativity and scientific rigor.

We are seeking a highly motivated R&D Intern to support in vivo experiments, surgical workflows, and neural data collection. This role is ideal for candidates interested in neuroscience, animal research, and translational neurotechnology, with opportunities to gain hands-on experience in large animal studies, electrophysiology, and experimental operations.

Location: Cambridge, MA (On-site)

Duration: 6 months (longer duration preferred)

Team: Preclinical

Key responsibilities

Surgical support

  • Assist with surgical procedures for large animals (e.g. porcine)

Assist with in vivo neural recordings (setup, monitoring, documentation)

Support behavioral, acute, and terminal experimental workflows

Assist with ex vivo testing and validation experiments

Tissue Processing & Histology Support

Support histological data analysis, coordination, and sample tracking

Maintain accurate documentation of tissue workflows and experimental outputs

Lab Operations & Collaboration

Maintain surgical and experimental equipment and workspace organization

Manage inventory, consumables, and experiment preparation

Ensure materials and setups are ready for time-sensitive studies

Work closely with neuroscientists, engineers, and external partners

Communicate observations clearly and support efficient experiment execution

Eligibility Requirements

  • Open to students currently enrolled in or recently graduated from a B.S., M.S., or Ph.D. program in Biology, Neuroscience or related field.
  • Undergraduate students must be in their junior year or higher
  • International students in U.S.-based programs must be CPT-eligible and have approval from their academic advisor

Qualifications

  • Pursuing or recently completed a degree in Biology, Neuroscience or a related field
  • Experience working with research animals including rodents, porcine models, and/or monkey models
  • Basic understanding of histology or tissue processing.
  • Strong attention to detail, organized workflow, and ability to work independently
  • Eagerness to learn and contribute to real-world neurotechnology projects
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Experience analyzing extracellular electrophysiological neuron recordings.
  • Experience in neural implant surgery, neuromodulation therapies, neuroprosthetics, or related neurotechnologies.
  • Experience with immune staining, biological imaging, and related data analysis

What you'll gain

  • Hands-on experience with preclinical neuroscience research

Exposure to surgical workflows and neural recording systems

Opportunity to contribute directly to translational neurotechnology development

Experience working in a fast-paced, interdisciplinary R&D environment


Axoft logo

About Axoft

Sourced by ZipRecruiter

Industry

Nanotechnology research and development

Company size

11 - 50 Employees

Headquarters location

Cambridge, MA, US

Year founded

2021

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