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Remote Neural Monitoring Jobs in New York (NOW HIRING)

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 job categories do people searching Remote Neural Monitoring jobs in New York look for? The top searched job categories for Remote Neural Monitoring jobs in New York are:
What cities in New York are hiring for Remote Neural Monitoring jobs? Cities in New York with the most Remote Neural Monitoring job openings:
Infographic showing various Remote Neural Monitoring job openings in New York as of July 2026, with employment types broken down into 81% Full Time, 8% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Machine Learning Research Scientist (Remote)

Moody's Analytics

New York, NY โ€ข On-site, Remote

Full-time

Re-posted 18 days ago


Job description

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody's Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives. The group also regularly publish and present their work in top-tier academic and industry conferences. We have a flexible work environment and allow remote work depending on one's personal choice. 

Broadly, we are looking for colleagues who are passionate about: 

  • Natural language processing 
  • Information retrieval 
  • Information extraction 
  • Graph Neural Networks 
  • Recommender systems 
  • Knowledge graphs 
  • Explainable AI 

 

We'll trust you to: 
 

  • Collaborate with colleagues on production systems and applications 
  • Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace 
  • Work on POCs and research prototypes 
  • Provide thought leadership in machine learning 
  • Represent Moody's Analytics at scientific and industry conferences 
  • Lead collaboration with colleagues and academia to publish research findings in leading academic venues such as ACL, EMNLP, NAACL-HLT, AAAI, KDD, CIKM, SIGIR, ECIR 
     

You'll need to have: 

  • Ph.D. in CS, ML, Math, Statistics, Engineering, Quant, or relevant industry experience. 
  • Publication record in top-tier academic conferences and journals 
  • Proficiency in modern programming languages such as Python 
  • Proficiency in leading research projects 

Nice to have: 

  • Experience with MLOPs technologies and workflows 
  • Experience in working with engineering teams on taking research prototypes to production
Employment Type: FULL_TIME