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Computational Neuroscience Remote Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational approaches. Education and Experience Applicants should hold a PhD in neuroscience ...

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Computational Neuroscience Remote information

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$40

$54

$74

How much do computational neuroscience remote jobs pay per hour?

As of May 29, 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.

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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.
Computational Neuroscientist - AI Trainer

Computational Neuroscientist - AI Trainer

DataAnnotation

El Paso, TX • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

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 quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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