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Remote Neural Monitoring Jobs in Massachusetts (NOW HIRING)

NorthEastern

Postdoctoral Research Fellow

Boston, MA · On-site +1

... monitoring, and auditing of such systems. * NLP & IR 3.0: This area covers the study of large ... These may include applications of neural networks to the analysis of multi-omic data, models for ...

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Remote Neural Monitoring information

What jobs in the US pay $300,000 a year?

Remote Neural Monitoring is a specialized field that typically involves advanced skills in neuroscience, cybersecurity, and data analysis. High-paying roles in related fields, such as senior AI researchers, data scientists, or cybersecurity executives, can reach or exceed $300,000 annually, especially with extensive experience, certifications, and leadership responsibilities. These positions often require advanced degrees and a strong track record in technology or research environments.

What is remote neuromonitoring?

Remote neuromonitoring involves monitoring brain activity and neural functions from a distance, often using specialized equipment and software. In a job context, roles may require knowledge of neuroscience, signal processing, and remote communication tools to assess neurological health or performance remotely.

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

To thrive as a Remote Neural Monitoring Specialist, you need an advanced understanding of neuroscience, electrophysiology, and experience with neural data acquisition, typically supported by a relevant degree in biomedical engineering, neuroscience, or a related field. Familiarity with brain-computer interface (BCI) systems, neural data analysis software, and compliance with institutional review board (IRB) protocols or other regulatory standards is essential. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical information clearly set top candidates apart. These skills ensure accurate data interpretation, adherence to ethical standards, and effective collaboration within interdisciplinary research or clinical teams.

What are the primary responsibilities and challenges faced by a Remote Neural Monitoring Specialist?

As a Remote Neural Monitoring Specialist, your primary responsibilities include continuously tracking neural activity data from patients or research subjects, ensuring the integrity and quality of data, and providing real-time feedback to clinical or research teams. One of the main challenges in the role is accurately identifying significant neural events or anomalies while minimizing false positives, which requires both technical expertise and focused attention. You may also need to troubleshoot technical issues with monitoring equipment or software remotely and maintain strict compliance with privacy and ethical guidelines. Collaboration with physicians, neuroscientists, or IT professionals is common, ensuring comprehensive care or data analysis. This role offers opportunities to advance into project management, clinical lead positions, or specialize in emerging neurotechnology fields.

What is a Remote Neural Monitoring job?

Remote Neural Monitoring (RNM) is a concept often associated with surveillance theories rather than an established job role. It is sometimes described as technology that can remotely track neural activity, but there is no verified scientific basis for such a profession. If you're looking for careers in neuroscience, artificial intelligence, or brain-computer interfaces, consider roles in neurotechnology research, cognitive science, or biomedical engineering. Always verify job listings with reputable sources to avoid misinformation.

What jobs are good for ADHD brains?

Remote Neural Monitoring is a specialized field that often involves technical skills, attention to detail, and problem-solving. Jobs suited for ADHD brains typically include roles with flexible schedules, hands-on tasks, or creative elements, such as data analysis, technical support, or content creation. These roles can help maintain focus and engagement while accommodating different working styles.

Is remote neural monitoring legal?

Remote neural monitoring is a controversial and largely unregulated technology that claims to read or influence brain activity remotely. Currently, there are no specific laws explicitly permitting or prohibiting its use, and ethical and legal concerns remain significant. Employment in this field often requires understanding of privacy laws and ethical standards related to neurotechnology.
What are popular job titles related to Remote Neural Monitoring jobs in Massachusetts? For Remote Neural Monitoring jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Neural Monitoring jobs in Massachusetts look for? The top searched job categories for Remote Neural Monitoring jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Neural Monitoring jobs? Cities in Massachusetts with the most Remote Neural Monitoring job openings:
Remote Neural Monitoring jobs near you
Infographic showing various Remote Neural Monitoring job openings in Massachusetts as of July 2026, with employment types broken down into 79% Full Time, 9% Part Time, and 12% Contract. Highlights an 100% Remote job distribution.
Postdoctoral Research Fellow

Postdoctoral Research Fellow

NorthEastern

Boston, MA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

About the Opportunity

About the Institute

Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions?

We are launching a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous.

Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

About the Institute

Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions?

We are launching a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous.

Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

The Culture

Here at the Institute for Experiential AI (EAI) we are committed to the highest standards in all that we do. Working at the EAI offers opportunities, an environment, and a culture that just aren't found together anywhere else. This is the right place for you if you're curious, motivated by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems.

Job Summary

Northeastern University's Institute for Experiential AI has established a position for a Postdoctoral Researcher focused on work at the intersection of artificial intelligence and Responsible AI, NLP & IR 3.0, Health/Wellness, and/or Life Sciences. The Postdoctoral Researcher will be based out of either the Boston, MA or Portland, ME campus and conduct applied research, prepare work for submission to journal/conference publications, contribute to extramural funding applications, and project manage in connection with projects. This position has a two-year, renewable appointment.

The position will be associated to one of the following specialization areas:

  • Responsible AI: This area focuses on the design, development and governance of AI systems, as well as the evaluation, monitoring, and auditing of such systems.
  • NLP & IR 3.0: This area covers the study of large language models and other natural language processing techniques applied to language understanding and the next generation of search engines.
  • AI + Health: This area levarages AI to study and solve complex problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion, computational medicine, predictive analytics, big data, neuroscience, and related fields.
  • AI + Life Sciences: Participate in research projects that are related to AI and the life sciences. These may include applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc.. Participation in these projects will include scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc..
Minimum Qualifications

A Ph.D. in computer science, AI, Data Science, computational biology, Ethics in AI, or health-related field by the appointment start date. A record of outstanding research during the Ph.D., as evidenced by publications, grants, software outputs, and other scholarly measures of impact. Proposal preparations for sponsored research funding, research experience involving team science projects, and project management experience are pluses.

Values & Abilities:

  • Ability to work both independently and collaboratively towards common research goals.
  • We expect postdoctoral fellows to establish and advocate for best practices in scientific reproducibility of all results, and to promote the ethical use of data and algorithms.
  • Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives, government officials, journalists/media, etc.
  • Comfortable navigating complex internal processes and structures.
  • Respect for diversity and the importance of interdisciplinary teams.
  • Entrepreneurial mindset, self-starter and innovative thinker while at the same time being able to navigate multi-layered channels within a university setting and working across multiple teams/business units.
  • Team-player who can collaborate effectively in a university setting.
  • Open-minded, assertive, and professional when collaborating and working within our team and with other groups within Northeastern University.

Additional qualifications:

Responsible AI

  • Knowledge of key concepts like bias and fairness.
  • Experience on monitoring ML models (bias, drift, etc.) and algorithmic audits

Natural Language Processing

  • Knowledge of key tasks such as entity recognition and entailment.
  • Experience with word embeddings and large language models.

AI in Health

  • Strong research record using AI in a health-related discipline.
  • Applicants with the following training will be considered
    • PhD in computer science, machine learning, AI or related computational field, or,
    • Ph.D. in a health-related discipline with experience in experimental science, devices / technology, data collection, unique populations, etc, that can be leveraged for AI applications..
  • Strong written / verbal communication and interpersonal skills
  • Ability to think critically and creatively, and to collaborate as part of a team

AI in Life Sciences

Must have a Ph.D. or equivalent in a quantitative/computational field related to the life sciences. These may include bioinformatics, computational biology, mathematical biology, etc. Must have experience in bioinformatics and/or biological data formats. Must have progressive experience that demonstrates the ability to plan and execute research. This experience can be concurrent during PhD research. Must have experience in research software development, FAIR data/open science, life sciences data systems, and analysis of 'omics data (e.g., metabolomics, proteomics, genomics, transcriptomics, etc.).

Required Documents:

Please submit the following documents in a single Word/ PDF document along with your application-

Cover Letter (please specify the specialization(s) you are interested in) Resume Few samples of your Research Papers/Articles One page Research Statement. The research statement should not exceed 1 page. A reference cited section can be appended following the research statement and does not count towards the page limit. Please use 11- or 12-point size and a standard font. Page margins should be 1 inch or greater. Please address the following:

1. Describe your research and how it has contributed to your field?

2. What future directions do you anticipate for your research?

3. Who are your primary collaborators and what are your experiences with industrial collaborations?

Position Type

Research

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

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