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Remote Neuroscience Ai Jobs (NOW HIRING)

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Remote Neuroscience Ai information

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How much do remote neuroscience ai jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote neuroscience ai in the United States is $21.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote neuroscience AI specialist?

To thrive as a Remote Neuroscience AI Specialist, you typically need a strong background in neuroscience, proficiency in machine learning or deep learning, and an advanced degree in a related field. Familiarity with programming languages like Python, neuroimaging tools (such as fMRI or EEG analysis software), and AI frameworks (like TensorFlow or PyTorch) is essential, along with relevant certifications in data science or AI. Exceptional problem-solving skills, attention to detail, and the ability to collaborate effectively in remote teams are vital soft skills. These competencies enable the effective development and application of AI models to complex neuroscience data, driving innovation and insights in both research and clinical contexts.

What are some typical challenges faced by professionals working in a remote neuroscience AI role?

Professionals in remote neuroscience AI roles often encounter challenges related to interdisciplinary collaboration, as integrating neuroscience expertise with AI development requires close coordination across teams that may be geographically dispersed. Communication can also be a hurdle, especially when discussing complex scientific concepts or troubleshooting machine learning models. Additionally, ensuring data security and compliance with privacy regulations is critical, given the sensitive nature of neurological data. However, remote work offers flexibility and access to a broader talent pool, which can enhance project outcomes when managed effectively.

What is the difference between Remote Neuroscience Ai vs Remote Data Scientist?

AspectRemote Neuroscience AiRemote Data Scientist
Required CredentialsBackground in neuroscience, AI, machine learningDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, healthcare, tech companiesTech firms, finance, healthcare, consulting
Industry UsageNeuroscience research, AI development in healthcareData analysis, predictive modeling across industries
Common Search IntentNeuroscience-focused AI roles, research projectsData analysis, machine learning projects

Remote Neuroscience Ai roles focus on applying AI to neuroscience research and healthcare, requiring expertise in neuroscience and AI. Remote Data Scientists work across various industries analyzing data and building models, often with a broader skill set. Both roles involve remote work but serve different industry needs and skill requirements.

What does a remote neuroscience AI professional do?

A Remote Neuroscience AI professional applies artificial intelligence and machine learning techniques to neuroscience research and applications, often while working from a remote location. Their work may include analyzing brain imaging data, developing neural network models to understand brain function, or creating AI-driven tools for neurological diagnosis and treatment. They typically collaborate with scientists, clinicians, and engineers to advance understanding of the brain or to develop innovative healthcare solutions. This role requires expertise in both neuroscience and AI methodologies, as well as strong programming and analytical skills.
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What are the most commonly searched types of Neuroscience Ai jobs?

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What states have the most Remote Neuroscience Ai jobs?

States with the most job openings for Remote Neuroscience Ai jobs include:

Infographic showing various Remote Neuroscience Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $44,724 per year, or $21.5 per hour.

Research Scientist - Computational Neuroscience

Astera Institute

Emeryville, CA โ€ข Remote

$90K - $200K/yr

Full-time

Re-posted 19 days ago


Job description

About Astera:

Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress.

Unlike traditional non-profit research organizations, projects supported by Astera operate like high-velocity startups, allowing us to focus on ambitious goals, match structure to problem, and attract strong technical talent and leadership. You can read more about our mission, vision, and programming here.

Position Summary

Astera Institute is seeking a Research Scientist in Computational Neuroscience to develop computational models of neural circuits and brain function.

Responsibilities:
  • Read, analyze, and synthesize neuroscience, cognitive science, and computational neuroscience literature.

  • Develop biologically plausible computational models of neural circuits, brain regions, and large-scale brain systems.

  • Compare model predictions with experimental data and refine models accordingly.

  • Develop novel algorithms inspired by biological neural computation.

  • Analyze large-scale neural and behavioral datasets to inform and evaluate computational models.

  • Stay current with advances in neuroscience, machine learning, and computational modeling.

  • Propose and pursue original research directions that advance our understanding of brain computation.

  • Make novel scientific contributions to computational neuroscience through the development of new theories and models.

  • Document research findings and communicate results through technical reports, publications, and presentations.

Qualifications and Experience
  • Experience programming in Python

  • Familiarity with scientific computing libraries such as Jax, Pytorch, NumPy, SciPy, or similar tools

  • Research experience in systems, computational, and theoretical neuroscience.

  • Experience working with data analysis, statistics, or machine learning workflows

  • Ability to work independently and communicate technical findings clearly

Preferred Qualifications
  • Experience with machine learning or dynamical systems modeling

  • C++ programming experience is a strong bonus

  • Familiarity with Linux, Git, and high-performance computing environments

Nice-to-Have Areas of Interest
  • Neural circuit modeling

  • Synaptic plasticity and learning

  • Large-scale brain simulations

  • Data-driven modeling of neural systems

  • Interest in wet lab experiments to collect more data or test theories

Education
  • Ph.D. or equivalent demonstrated expertise in Computational Neuroscience, Neuroscience, Computer Science, Physics, Electrical Engineering, Applied Mathematics, or a related discipline.

Location

This position can be remote, hybrid, or onsite at our office in Emeryville, CA. Some travel may occasionally be required for collaboration and team events.

Compensation

The posted wage range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.

  • Benefits Summary

Cultural Alignment
  • Surprising problem-solver – you love finding unexpected solutions to problems we don't even know we have, and see options where others only see constraints.

  • Flexible by default – you don't draw hard lines around your job description and expect your role to evolve significantly over 6–12 months.

  • Bias to action – you launch and iterate on thoughtful experiments rather than waiting for perfect plans, and you're energized by novel problems.

  • High standards, internally driven – you believe you can build the world's best vehicle for unleashing extraordinary individuals to create public goods, and you hold yourself to that bar without benchmarking against others.

  • Open to feedback – You create opportunities to give and receive honest feedback, staying focused on both personal and team growth, and committing to transparency even when it’s uncomfortable.

  • Operate with the highest levels of integrity, judgment, and stewardship -- you treat residents, peers, and vendors with genuine respect for their time and contributions.

  • Embrace the tools that define great work today – Astera is building for an AI-driven future and equips the team accordingly. We see these as genuine force multipliers, not optional extras, and we expect our people to use them.

  • Understand that theories are opinions until they’re adequately validated with data – follow the scientific method rigorously.

Compensation Range: $90K - $200K