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Remote Neural Monitoring Jobs in Virginia (NOW HIRING)

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... Monitor model performance over time, implement retraining strategies, and optimize models to ensure ...

Dlapiper

Data Scientist

Reston, VA · On-site +1

Develops processes and tools to monitor and analyze modeling performance and data accuracy ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies ...

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Remote Neural Monitoring information

What is remote neural monitoring?

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 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 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 popular job titles related to Remote Neural Monitoring jobs in Virginia?

For Remote Neural Monitoring jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Neural Monitoring jobs in Virginia look for?

The top searched job categories for Remote Neural Monitoring jobs in Virginia are:

Remote Neural Monitoring jobs near you
Infographic showing various Remote Neural Monitoring job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Data Scientist - Machine Learning & AI

Team Velocity

Herndon, VA • Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

Senior Data Scientist – Machine Learning & AI
Remote | Full-Time | $160,000–$190,000

Team Velocity is seeking a Senior Data Scientist to develop and deploy machine learning, predictive analytics, and AI solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence.

This is a hands-on role for an experienced data scientist who can take models from data exploration and development through production deployment, monitoring, and optimization. You will partner with Product, Data Engineering, Software Engineering, Analytics, and business leadership to deliver measurable business impact.

This is a full-time remote position. Candidates must reside in the Continental U.S. and be able to support an 8:30 AM–5:30 PM ET business hours. Eastern and Central Time Zones highly preferred.

KEY RESPONSIBILITIES

  • Design, build, evaluate, and deploy production machine learning models.
  • Develop predictive models for churn, propensity, lead scoring, customer lifetime value, recommendations, forecasting, personalization, and marketing attribution.
  • Perform statistical analysis, hypothesis testing, A/B testing, causal inference, and time-series analysis.
  • Build feature engineering, model training, and inference pipelines.
  • Deploy and monitor ML models, including model performance, drift detection, and retraining.
  • Apply Generative AI, LLMs, RAG, and vector databases to business and customer applications.
  • Partner with Product, Engineering, Analytics, and leadership to translate business problems into scalable data science solutions.
  • Mentor junior data scientists and establish best practices for model development, documentation, and code quality.

REQUIREMENTS

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; Master's or PhD preferred.
  • 5+ years | Python + SQL | production ML | predictive modeling | model deployment | MLOps | cloud | measurable business impact
  • Proven ability to deliver measurable business impact through data science and machine learning.
  • Strong communication, analytical, and business problem-solving skills.
  • Expert Python and SQL skills.

TECHNICAL EXPERIENCE

  • Machine Learning: XGBoost, LightGBM, Random Forest, Neural Networks, Deep Learning
  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, causal inference, time series
  • Data & Cloud: Snowflake, dbt, Spark, Airflow, GCP preferred; AWS or Azure considered
  • MLOps: MLflow, Kubeflow, Vertex AI, feature stores, CI/CD, model monitoring
  • AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases
  • Experience with data quality and observability tools such as Great Expectations or Monte Carlo is a plus.

*You do not need experience with every technology listed above. Strong production machine learning experience is the priority.

Preferred Experience

  • Large-scale customer or behavioral data
  • Marketing analytics, personalization, or customer intelligence
  • SaaS, automotive, retail, advertising, or marketing technology
  • Real-time inference or streaming data
  • Production Generative AI applications

COMPENSATION & BENEFITS
The expected salary range is $160,000–$190,000 annually, based on experience, skills, and qualifications. Benefits include medical, dental, vision, 401(k) matching, unlimited paid leave, wellness programs, and more.

NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online employment application and be sure to upload a current resume and current contact information.

About Team Velocity
Team Velocity is a full-service marketing and technology company serving automotive manufacturers and dealerships nationwide. Our proprietary Apollo® technology platform uses data, predictive analytics, and AI to predict consumer behavior, personalize marketing, and help dealerships increase sales and service revenue.

Join us in applying data science, machine learning, and AI to real-world business problems at scale.

Apply