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Neurotechnology Jobs in Massachusetts (NOW HIRING)

Senior Forward Deployed Engineer

Boston, MA · On-site

$113K - $156K/yr

A rapidly growing digital health and neurotechnology company is hiring a full-time Forward Deployed Engineer in Boston, MA. This role sits at the intersection of data engineering, customer solutions ...

About NeuroBionics NeuroBionics, an MIT neurotechnology spinout, is developing novel implantable devices that interface seamlessly with the human body to treat neurological conditions. Leveraging ...

Nocturnal is developing active sleep interventions using wearable neurotechnology. Founded in 2024, the company is headquartered in Cambridge, US, , with a team of 2-10 employees. The company is ...

Neurotechnology information

See Massachusetts salary details

$15

$41

$97

How much do neurotechnology jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for neurotechnology in Massachusetts is $41.28, according to ZipRecruiter salary data. Most workers in this role earn between $26.25 and $45.14 per hour, depending on experience, location, and employer.

What is neurotechnology?

A Neurotechnology job involves working at the intersection of neuroscience, engineering, and technology to develop tools that interact with the nervous system. Professionals in this field may work on brain-computer interfaces (BCIs), neuroprosthetics, medical imaging, or neurorehabilitation devices. Roles can range from research and development to clinical applications, requiring expertise in neuroscience, engineering, AI, and data analysis. These jobs are found in academia, healthcare, biotech, and tech industries, aiming to enhance brain function, treat neurological disorders, or improve human-computer interactions.

What types of projects or technologies might I work on as a neurotechnology professional?

As a neurotechnology professional, you may work on projects involving brain-computer interfaces, neural prosthetics, neuromodulation devices, or advanced neuroimaging systems. Daily tasks could include analyzing neural data, developing algorithms to interpret brain signals, collaborating with clinicians for device testing, and ensuring compliance with regulatory standards. Most teams are highly interdisciplinary, so you’ll often work alongside neuroscientists, engineers, clinicians, and software developers. The diversity of projects provides opportunities to learn new skills and contribute to advancements that can significantly impact patient care and neurorehabilitation.

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

To thrive in Neurotechnology, you need a strong background in neuroscience, biomedical engineering, or a related field, along with proficiency in research methodologies and data analysis. Experience with neuroimaging tools (such as EEG, fMRI), programming languages (like Python or MATLAB), and relevant certifications in neural engineering or medical devices are highly valued. Critical thinking, problem-solving abilities, and effective interdisciplinary communication help professionals excel in collaborative research and development environments. These skills are vital for driving innovation, ensuring safety and efficacy, and successfully translating neurotechnological advancements into real-world applications.

What are popular job titles related to Neurotechnology jobs in Massachusetts?

For Neurotechnology jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Neurotechnology jobs in Massachusetts look for?

The top searched job categories for Neurotechnology jobs in Massachusetts are:

What cities in Massachusetts are hiring for Neurotechnology jobs?

Cities in Massachusetts with the most Neurotechnology job openings:

Infographic showing various Neurotechnology job openings in Massachusetts as of August 2026, with employment types broken down into 68% Full Time, 21% Part Time, and 11% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $85,863 per year, or $41.3 per hour.

Research Scientist, Optical Physiology and Neurotechnology

Mindspan Institute

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago


Job description

About The Mindspan Institute
The Mindspan Institute is a new non-profit research institute in Cambridge, MA, aimed at building novel tools to analyze the human brain, and scaling them to study its molecules and wiring. We interpret how they contribute to brain functions and dysfunctions, and share our tools and discoveries as freely as possible, to advance human health.
Research Scientist, Optical Physiology and Neurotechnology
Mindspan Institute • Cambridge, MA (on-site) • Full-time
The role
This is an engineering-oriented science role, recording, controlling, analyzing, and visualizing neural activities with cellular and subcellular resolutions. This job involves careful thinking about which parameters matter and why, meticulous execution, and sharp observation of results-and figuring out what parameters to optimize to improve recording quality and throughput.
You will report to the Head of Optical Physiology and work, as needed, with other Mindspan teams-Scalable Chemistry, Microscopy and Optics, Automation and Industrialization, and Computation and Analysis-using logic and evidence to advance your work so as to boost the performance of all.
This position is intended for someone who wants to redefine what is possible in cellular activity imaging, in addition to performing experiments using existing tools. Given the multidisciplinary nature of the job, the position is ideal for a person who enjoys problem solving across intellectual boundaries, both at the level of concepts as well as at the level of hands-on debugging. It also requires systematic documentation, analysis, and iterative problem-solving skills, to arrive at working protocols, apply them, and share them.
What you'll do
  • Design, execute, and optimize cellular activity imaging experiments.
  • Lead efforts to produce high-quality voltage imaging and synaptic recording data from iPSC-derived neurons and human and mouse brain slices.
  • Characterize optogenetics and voltage sensor performance.
  • Evaluate gene expression systems.
  • Analyze physiology data in collaboration with the Computational and Analysis team.

Required qualifications
  • Ph.D. in bioengineering, neuroscience, biophysics, chemistry, biochemistry, materials science, or a related field.
  • Demonstrated expertise with neuronal activity recordings, e.g., electrophysiology, calcium imaging, voltage imaging.
  • Direct hands-on experience with neural tissue handling, cell culture, histology, and fluorescent microscopy.
  • Experience in interpreting neuronal dynamics from imaging data.
  • Strong data analysis skills (Python, C++, MATLAB, ImageJ, or similar).
  • Demonstrated ability to build, modify, troubleshoot, and improve complex experimental systems.
  • Excellent experimental judgment and scientific rigor.

Preferred qualifications
  • Direct hands-on experience with voltage imaging and optogenetics.
  • Experience with human iPSC differentiation and mouse brain slice recording.
  • Background in synaptic physiology.
  • Experience with patch clamp recordings.
  • Familiarity with viral and nonviral gene expression systems.

What we're looking for
The ideal candidate is a scientist-engineer who naturally crosses disciplinary boundaries. You are intellectually curious, relentlessly practical, and happiest when solving problems that have never been solved before. You have a strong detail orientation and exceptional organizational, planning, interpersonal, and communication skills. You are good at writing, can work independently and collaboratively, and can prioritize and multitask as needed. Self-motivation, commitment to high-quality standards, and a service-oriented mindset are all key. You have good judgment-balancing flexibility and focus, action and planning, speed and thoughtfulness-as appropriate. You are open to giving and receiving feedback, constructively and thoughtfully, to advance scientific missions and personal growth.
Culture we're building
The disorders of the brain affect over 1,000,000,000 people around the world-Alzheimer's, Parkinson's, stroke-and other conditions-none of which can be cured. We operate with a sense of urgency, even as we look to understand the brain at its most fundamental levels.
We are hypercollaborative, and focused on impact over short-term markers of productivity. Creativity and failure are the stepping stones to scale, and working together with "strong opinions, weakly held" is our style.
We solve real engineering problems the best way we can: inventing fast when we have to, and using good existing solutions where they exist. We believe hard problems only yield to many disciplines working together, so collaboration is not optional.
We expect people to explore the unknown, which means making mistakes daily, owning them, and learning from them to improve and excel.
We are recruiting a team of scientists and engineers who exemplify all these values.
What we offer
The chance to build optical physiology approaches at a new research institute alongside some of the most adventurous scientists in the field. The institute is organized around end-to-end runs that carry tissue from intake to a reconstruction worth simulating, and your pipeline sits in the middle of every one of them. You will get to contribute to addressing one of the most important unmet medical needs of our time, as part of the initial team. You will learn lots of things that probably cannot be learned any other way, as you solve problems, build, and work with others. As Mindspan grows, we expect this role to grow with it.
Comprehensive health, dental, vision, and family benefits, and a matching retirement contribution.
Competitive salary ($120,000-$159,000), depending on experience.
The Mindspan Institute is an Equal Opportunity Employer. We are committed to a collaborative and scientifically rigorous environment for everyone who works here.