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Computational Neuroscience Remote Jobs (NOW HIRING)

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116.10K - $148K/yr

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

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... use behavioral, computational, and brain imaging methods to study creative thinking.

DataAnnotation

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced ...

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How much do computational neuroscience remote jobs pay per hour?

As of May 28, 2026, the average hourly pay for computational neuroscience remote in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

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.

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 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.

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.

More about Computational Neuroscience Remote jobs
What cities are hiring for Computational Neuroscience Remote jobs? Cities with the most Computational Neuroscience Remote job openings:
What are the most commonly searched types of Computational Neuroscience jobs? The most popular types of Computational Neuroscience jobs are:
What states have the most Computational Neuroscience Remote jobs? States with the most job openings for Computational Neuroscience Remote jobs include:
What job categories do people searching Computational Neuroscience Remote jobs look for? The top searched job categories for Computational Neuroscience Remote jobs are:
Computational Neuroscience Remote jobs near you
Infographic showing various Computational Neuroscience Remote job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 9% Full Time, 69% Part Time, 2% Temporary, and 19% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Staff ML Scientist - Neuromorphic Computing & Spiking Neural Networks

Triangle Workforce

Durham, NC • Remote

Full-time

Posted 16 days ago

Job description

We are hiring a Staff ML Scientist to lead research and development of spiking neural network (SNN) architectures for ultra-low-power, real-time edge inference. This rare role sits at the convergence of computational neuroscience and production machine learning, requiring expertise in neuromorphic hardware platforms (Intel Loihi 2, BrainChip Akida, SynSense), temporal coding schemes, and spike-timing-dependent plasticity (STDP) learning rules.


You will design brain-inspired ML models that achieve orders-of-magnitude improvements in energy efficiency over traditional deep learning for time-series, sensor fusion, and event-driven vision applications.


Candidates must have hands-on experience training and deploying SNNs, deep familiarity with frameworks like Norse, snnTorch, or Lava, and ideally published work in neuromorphic engineering or computational neuroscience. PhD required. Experience bridging the gap between neuromorphic research prototypes and production-ready inference systems is critical.


Key Skills: Spiking Neural Networks, Neuromorphic Computing, Intel Loihi, snnTorch, Norse, Lava, Edge ML, Sensor Fusion, PyTorch, STDP


This is a remote-first position based in North Carolina.