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Computational Neuroscience Remote Jobs in California

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Jj

Senior Director, Immunology Data & AI Systems

San Diego, CA · On-site +1

$52.75 - $72.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader ... fully remote option available). We are recruiting for a Senior Director, Immunology Data & AI ...

All JobsComputational Neuroscience JobsComputational Neuroscience Remote JobsComputational Neuroscience Remote Jobs in California

Computational Neuroscience Remote information

What is computational neuroscience?

Computational neuroscience is an interdisciplinary field that uses mathematical models, computer simulations, and theoretical analyses to understand the function and structure of the nervous system. Researchers in this field aim to explain how neural circuits process information, how brain functions emerge from complex neural interactions, and how these insights can be applied to artificial intelligence or neurological treatments. Computational neuroscientists often collaborate with experimental neuroscientists to test and refine their models, and their work can be done remotely using advanced computational tools.

How do computational neuroscience professionals typically collaborate with experimental neuroscientists in a remote work environment?

In remote computational neuroscience roles, collaboration with experimental neuroscientists is often facilitated through regular virtual meetings, shared data repositories, and collaborative platforms for code and documentation. Computational neuroscientists may analyze data provided by experimental teams, develop models based on experimental findings, and jointly interpret results. Clear communication and well-defined project goals are essential, as remote work can make spontaneous problem-solving more challenging. Many teams use project management tools and version control systems to streamline workflow and ensure everyone stays aligned.

What are the key skills and qualifications needed to thrive as a computational neuroscientist working remotely, and why are they important?

To thrive as a Computational Neuroscientist in a remote setting, you need advanced knowledge of neuroscience, mathematics, and computer science, typically supported by a graduate degree in a related field. Expertise in programming languages (such as Python or MATLAB), experience with data analysis platforms, and familiarity with neural modeling software are essential. Strong problem-solving skills, self-motivation, and clear virtual communication are critical soft skills for excelling in remote collaboration and research. These competencies enable effective scientific discovery, successful teamwork across distances, and the ability to manage complex research projects independently.

What is the difference between Computational Neuroscience Remote vs Computational Neuroscience in-person?

AspectComputational Neuroscience RemoteComputational Neuroscience in-person
Work EnvironmentRemote, flexible locationOn-site at research labs or institutions
Required CredentialsTypically advanced degrees in neuroscience, computer science, or related fieldsSame as remote, often with additional lab experience
Employer & Industry UsageUniversities, research institutes, tech companiesResearch labs, universities, healthcare institutions
Work SetupHome office, virtual collaborationLaboratory, university campus, or research facility

Computational Neuroscience Remote and in-person roles share similar educational requirements and industry usage. The main difference lies in the work environment, with remote positions offering flexibility and in-person roles providing direct lab access. Your choice depends on your preference for location and hands-on research experience.

What are the most commonly searched types of Computational Neuroscience jobs in California?

The most popular types of Computational Neuroscience jobs in California are:

What are popular job titles related to Computational Neuroscience Remote jobs in California?

For Computational Neuroscience Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Computational Neuroscience Remote jobs in California look for?

The top searched job categories for Computational Neuroscience Remote jobs in California are:

What cities in California are hiring for Computational Neuroscience Remote jobs?

Cities in California with the most Computational Neuroscience Remote job openings:

Computational Neuroscience Remote jobs near you
Infographic showing various Computational Neuroscience Remote job openings in California as of August 2026, with employment types broken down into 1% Internship, 62% Full Time, 36% Part Time, and 1% Contract. Highlights an 50% Physical, 2% Hybrid, and 48% Remote job distribution.

Senior ML/Research Scientist

NextSense

Mountain View, CA • On-site, Remote

$116K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 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.

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