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Remote Research Neurology Jobs (NOW HIRING)

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... neurological conditions. We hope to unlock brain health for everyone with real world data insights ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

The Department of Neurology in the Ochsner Neuroscience Institute in New Orleans is seeking a BC/BE ... Clinical research can be supported Are you ready to make a difference? Apply Today! Ochsner Health ...

Strong collaborative atmosphere between Neurology, Neurosurgery and Radiology * wRVU Productivity ... Professional development opportunities in teaching, research, physician leadership and community ...

Strong collaborative atmosphere between Neurology, Neurosurgery and Radiology * wRVU Productivity ... Professional development opportunities in teaching, research, physician leadership and community ...

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Remote Research Neurology information

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$80K

$99.8K

$135.5K

How much do remote research neurology jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote research neurology in the United States is $99,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $115,500.00 per year, depending on experience, location, and employer.

What is a remote research neurologist?

A remote research neurologist is a medical professional who studies the nervous system, neurological disorders, and related treatments, but conducts their research work primarily from a remote location rather than in a traditional laboratory or hospital setting. They may analyze data, design experiments, write research papers, and collaborate with other scientists virtually. This role often involves using digital tools and platforms to access research databases, communicate with research teams, and conduct virtual patient assessments or clinical trials. Remote research neurologists contribute to advancing knowledge in neurology while enjoying flexibility in their work environment.

What is the difference between Remote Research Neurology vs Remote Clinical Neurology?

AspectRemote Research NeurologyRemote Clinical Neurology
Required CredentialsNeuroscience or related advanced degrees, research certificationsMedical degree (MD or DO), medical licenses, board certifications
Work EnvironmentResearch institutions, universities, pharmaceutical companiesTelemedicine platforms, hospitals, clinics
Employer & Industry UsageResearch-focused organizations, academia, biotech firmsHealthcare providers, hospitals, outpatient clinics
Common Search & Comparison IntentUnderstanding research roles, academic opportunitiesPatient care, diagnosis, treatment via telehealth

Remote Research Neurology primarily involves conducting scientific studies and experiments in neuroscience, often within academic or research institutions. In contrast, Remote Clinical Neurology focuses on diagnosing and managing neurological conditions through telehealth services. While both roles require a strong background in neurology, the research role emphasizes scientific investigation, whereas the clinical role centers on patient care remotely.

What are some common challenges faced by professionals in remote research neurology, and how can they be addressed?

Professionals in remote research neurology often encounter challenges such as coordinating effectively with interdisciplinary teams across different time zones, ensuring secure and compliant data sharing, and maintaining engagement with study participants from a distance. To address these challenges, it's important to leverage reliable digital collaboration tools, follow strict data privacy protocols, and implement regular virtual check-ins with both colleagues and research subjects. Proactively communicating and establishing clear processes can help create a productive remote work environment while upholding research standards.

What are the key skills and qualifications needed to thrive as a Remote Research Neurology professional, and why are they important?

To thrive as a Remote Research Neurology professional, you need a strong background in neurology or neuroscience, expertise in clinical research, and typically an advanced degree (such as MD, PhD, or MSc). Familiarity with data analysis software (e.g., SPSS, MATLAB), electronic data capture systems, and compliance with research ethics certifications like GCP is important. Exceptional written communication, attention to detail, and self-motivation are crucial soft skills for coordinating studies and collaborating remotely. These abilities enable accurate data collection, effective teamwork across locations, and the integrity of neurological research outcomes.
More about Remote Research Neurology jobs
What cities are hiring for Remote Research Neurology jobs? Cities with the most Remote Research Neurology job openings:
What states have the most Remote Research Neurology jobs? States with the most job openings for Remote Research Neurology jobs include:
Infographic showing various Remote Research Neurology job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, 14% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $99,840 per year, or $48 per hour.
Senior ML/Research Scientist

Senior ML/Research Scientist

NextSense

Mountain View, CA • On-site, Remote

$116K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Company Description
About NextSense:
NextSense's vision is to be the foundation of brain health and establish a new paradigm in neurocare. Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to establish new ways of diagnosing and optimizing therapy for diverse neurological conditions. We hope to unlock brain health for everyone with real world data insights and practical, scientific wisdom for daily living.
Job Description
About the Job:
As a ML/Research Scientist, you will play a crucial role in developing next-generation wearable neurotechnologies. You will design, implement, and lead innovative research to develop novel digital biomarkers and applications for various neurological conditions. You will work with industry partners and academic leaders on clinical trials and collaborative research projects. You will collaborate with an interdisciplinary team of scientists, medical specialists, HW/SW engineers, and product managers to translate fundamental scientific knowledge into clinical and consumer products.
Responsibilities:
  • Design, execute, and present cutting-edge research to advance our biosensing earbud technology.
  • Apply signal processing, machine learning, and statistical analysis to decode biosignals.
  • Develop algorithms for automated detection of healthy and pathological neural signatures
  • Contribute to the implementation of data analysis pipelines for large-scale physiological signals from clinical studies.
  • Collect, analyze, and interpret data for pilot and clinical studies.
  • Collaborate with engineering and product teams to integrate the latest research into prototypes and products.
  • Assist in writing peer-reviewed publications and conference abstracts.
  • Engage in building tools, libraries, or processes that are used throughout the company or in the open-source community.

Qualifications
Minimum Qualifications:
  • Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics, computer science, electrical engineering, or related fields/experience
  • Strong Python programming skills; ability to demonstrate mastery through work experience or personal projects
  • Strong technical skills associated with biosignal time-series analysis, including signal processing, machine/deep learning, advanced statistics, and data visualization
  • Excellent written, verbal, interpersonal communication, and presentation skills
  • Passionate about neurotechnologies and their potential to benefit society

Preferred Qualifications:
  • 5+ years industry experience
  • Comfortable conducting conventional and mobile EEG recordings or willing to learn
  • Experience with cloud-based platforms (GCP preferred)
  • Ability to strive in a fast-paced startup environment
  • Demonstrated productive publishing record
  • Experience with version control (e.g., Git)

Additional Information
Benefits:
  • Our careers benefits include but are not limited to the following:
  • Flexible/hybrid work schedule (built-in work from home days)
  • Equity
  • Retirement savings (no employer matching at this stage)
  • Healthcare Flexible Spending Account (FSA)
  • Medical, dental, vision, and life insurance
  • Wellness-bundle, commuter benefits
  • Paid vacation, holidays, parental leave

Location:
Mountain View, CA (not a remote position)
Employment Eligibility:
At this time NextSense is only considering candidates for this role who are eligible to legally work in the US without any Visa sponsor/transfer requirements now or in the future. Eligible candidates who can work on a TN Visa from Mexico or Canada will be considered.