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Work From Home Computational Neuroscience Software Engineer Jobs

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Work From Home Computational Neuroscience Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do work from home computational neuroscience software engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for work from home computational neuroscience software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a work from home computational neuroscience software engineer?

A Work From Home Computational Neuroscience Software Engineer is a software engineer who specializes in developing tools, models, and simulations to study the brain and nervous system, while working remotely. They combine expertise in neuroscience, mathematics, and programming to analyze neural data, build computational models, and support scientific research. Working from home allows them to collaborate with researchers and teams worldwide using a range of software and communication tools. This role typically requires strong skills in programming languages such as Python or MATLAB and familiarity with neuroscience concepts.

What are the key skills and qualifications needed to thrive as a work from home computational neuroscience software engineer?

To excel as a Work From Home Computational Neuroscience Software Engineer, you need a strong background in neuroscience, software development, and applied mathematics, typically supported by a degree in computer science, engineering, or a related field. Proficiency with programming languages like Python or MATLAB, experience with neural modeling tools (e.g., NEURON, NEST), and familiarity with version control systems such as Git are essential. Strong analytical thinking, self-motivation, and effective remote communication skills set high performers apart in this role. These skills ensure the ability to develop robust scientific software, collaborate efficiently across remote teams, and drive meaningful research outcomes in computational neuroscience.

How does a work from home computational neuroscience software engineer typically collaborate with multidisciplinary teams remotely?

Work From Home Computational Neuroscience Software Engineers often collaborate with neuroscientists, data analysts, and other engineers through virtual meetings, collaborative coding platforms, and shared project management tools. Effective communication is key, as you'll need to translate complex computational models into understandable deliverables for team members with varied backgrounds. Regular check-ins, version control systems like Git, and collaborative platforms such as Slack or Microsoft Teams help maintain project alignment. Being proactive in seeking feedback and clarifying requirements ensures smooth remote teamwork and project success.

What is the difference between Work From Home Computational Neuroscience Software Engineer vs Data Scientist?

AspectWork From Home Computational Neuroscience Software EngineerData Scientist
Required CredentialsDegree in neuroscience, computer science, or related fields; programming skillsDegree in statistics, computer science, or related fields; programming skills
Work EnvironmentRemote, research-focused, collaborative teamsRemote or on-site, data analysis and modeling
Industry UsageResearch institutions, biotech, healthcareTech, finance, healthcare, marketing
Search & Comparison IntentUnderstanding role differences, remote work optionsComparing data analysis roles, remote opportunities

While both roles involve programming and data analysis, the Work From Home Computational Neuroscience Software Engineer focuses on developing algorithms for brain research, whereas Data Scientists analyze data across various industries. Both can be remote and require similar technical skills, but their industry applications and specific expertise differ.

What cities are hiring for Work From Home Computational Neuroscience Software Engineer jobs?

Cities with the most Work From Home Computational Neuroscience Software Engineer job openings:

What states have the most Work From Home Computational Neuroscience Software Engineer jobs?

States with the most job openings for Work From Home Computational Neuroscience Software Engineer jobs include:

What job categories do people searching Work From Home Computational Neuroscience Software Engineer jobs look for?

The top searched job categories for Work From Home Computational Neuroscience Software Engineer jobs are:

Infographic showing various Work From Home Computational Neuroscience Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Research Scientist - Computational Neuroscience

Emeryville, CA โ€ข Remote

Astera Institute
Scientific Research and Development Servicesย โ€ขย 1 - 10 employees

$90K - $200K/yr

Full-time

Re-posted 15 hours 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