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Volunteer Computational Neuroscience Software Engineer Jobs

$179K/yr

THIS ROLE SITS AT THE INTERSECTION OF COMPUTATIONAL NEUROSCIENCE, ADVANCED AI, AND SYSTEMS ENGINEERING. RESPONSIBILITIES * ARCHITECT AND VALIDATE NEURAL LATTICE TOPOLOGIES FOR SYNTHETIC COGNITIVE ...

... Biomedical Engineering, Cognitive Science, Public Health, or a related field and 12+ years of ... Expertise in computational modeling, machine learning, predictive analytics, biomarker development ...

Staff Software Engineer

Emeryville, CA · On-site

$200K - $500K/yr

... to computational resources and complete freedom from funding pressures or profit motives. This ... We are integrating neuroscience, AI, and bioengineering to understand and digitally model the ...

Software Engineer

New York, NY · On-site

$100K - $250K/yr

... neuroscience and quantum computing. The selected candidates will work closely with a group of ... The hired engineer will have access to computational resources allowing training of large AI models.

The opportunity Sciotex is seeking a PhD-level Computational Physicist / Computer Vision Algorithm Engineer to develop the algorithms and scientific software behind next-generation industrial ...

... to computational resources and complete freedom from funding pressures or profit motives. This ... We are integrating neuroscience, AI, and bioengineering to understand and digitally model the ...

$200K - $500K/yr

... to computational resources and complete freedom from funding pressures or profit motives. This ... We are integrating neuroscience, AI, and bioengineering to understand and digitally model the ...

Cymertek Corporation is seeking an innovative and driven HPC Software Engineer to develop and optimize software solutions for cutting-edge computational environments. The role involves designing ...

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Volunteer Computational Neuroscience Software Engineer information

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$48.5K

$121.5K

$137.5K

How much do volunteer computational neuroscience software engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for volunteer computational neuroscience software engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What does a volunteer computational neuroscience software engineer do?

A Volunteer Computational Neuroscience Software Engineer develops and maintains software tools and models used in computational neuroscience research. This role often involves collaborating with scientists to design algorithms, analyze neural data, and simulate brain activity. Volunteers typically contribute to open-source projects, write code in languages like Python or MATLAB, and help improve the reproducibility and accessibility of scientific research. Their work supports advancements in understanding brain function and neurological disorders.

How does a volunteer computational neuroscience software engineer typically contribute to research projects within academic or nonprofit teams?

As a Volunteer Computational Neuroscience Software Engineer, you'll often collaborate closely with neuroscientists, data analysts, and other software engineers to design, build, and maintain computational tools for analyzing neural data. Your daily tasks may include developing data processing pipelines, optimizing algorithms, and troubleshooting code issues that arise during research experiments. While the volunteer status means balancing your contributions with other commitments, the role offers valuable experience working with cutting-edge neuroscientific data and exposure to interdisciplinary teamwork. Many volunteers find that this experience opens doors to academic publications, networking opportunities, and potential career advancement in research or industry.

What are the key skills and qualifications needed to thrive as a volunteer computational neuroscience software engineer, and why are they important?

To thrive as a Volunteer Computational Neuroscience Software Engineer, you need a solid background in neuroscience concepts, programming (typically Python, MATLAB, or C++), and data analysis, usually supported by coursework or a degree in a related field. Familiarity with neuroimaging software (such as SPM or FSL), version control systems (like Git), and experience with computational modeling tools are often required. Strong problem-solving abilities, teamwork, and clear scientific communication help you collaborate effectively within interdisciplinary research groups. These skills and qualities are essential for contributing meaningful code and insights to neuroscience research projects, ensuring reproducibility, and advancing scientific understanding.

What is the difference between Volunteer Computational Neuroscience Software Engineer vs Volunteer Data Scientist?

AspectVolunteer Computational Neuroscience Software EngineerVolunteer Data Scientist
Required CredentialsBackground in neuroscience, programming skills, possibly a degree in computer science or neuroscienceBackground in statistics, programming, often a degree in data science, statistics, or related fields
Work EnvironmentResearch labs, academic institutions, nonprofit organizations focused on neuroscience researchResearch institutions, healthcare, or nonprofit organizations analyzing large datasets
Employer & Industry UsageUsed in neuroscience research projects, brain modeling, and simulationApplied in health data analysis, clinical research, and data-driven decision making

The main difference is that Volunteer Computational Neuroscience Software Engineers focus on developing software for neuroscience research, while Volunteer Data Scientists analyze data across various fields, including healthcare. Both roles require programming skills and work in research environments, but their specific focus and application areas differ.

What cities are hiring for Volunteer Computational Neuroscience Software Engineer jobs?

Cities with the most Volunteer Computational Neuroscience Software Engineer job openings:

What are the most commonly searched types of Computational Neuroscience Software Engineer jobs?

The most popular types of Computational Neuroscience Software Engineer jobs are:

What states have the most Volunteer Computational Neuroscience Software Engineer jobs?

States with the most job openings for Volunteer Computational Neuroscience Software Engineer jobs include:

What are popular job titles related to Volunteer Computational Neuroscience Software Engineer jobs?

For Volunteer Computational Neuroscience Software Engineer jobs, the most frequently searched job titles are:

Research Scientist / Engineer, Functional Ultrasound Imaging

Emeryville, CA • On-site

Astera
Specialty Trade Contractors • 11 - 50 employees

Other

Posted 28 days ago


Key responsibilities

  • Build, validate, and optimize a large-scale volumetric functional ultrasound imaging platform for awake, behaving primates.

  • Design and execute multimodal neuroscience experiments combining fUSI with behavioral paradigms and complementary recording and perturbation techniques.

  • Develop robust computational pipelines for image reconstruction, preprocessing, registration, quality control, statistical analysis, and visualization.


Job description

Company Overview

Astera Neuro is a philanthropically funded research organization within the Astera Institute, working to decipher and ultimately write the neural codes underlying perception, thought, behavior, and internal state.

Position Summary

You will develop Astera Neuro's volumetric fUSI platform for primates, working across hardware, experimentation, and computational analysis. From implementing the imaging system and designing experiments to analyzing large-scale datasets and building functional brain atlases, you'll help create one of the world's most advanced platforms for mesoscale imaging of the primate brain.

You'll work alongside engineers, software developers, neuroscientists, veterinarians, and external collaborators in an interdisciplinary team focused on creating technologies that enable fundamentally new neuroscience. Animal wellbeing is foundational to this work, supported by dedicated veterinary and behavioral care staff and rigorous welfare standards.

What You’ll Do
  • Build, validate, and optimize a large-scale volumetric functional ultrasound imaging platform for awake, behaving primates.
  • Design and execute multimodal neuroscience experiments combining fUSI with behavioral paradigms and complementary recording and perturbation techniques.
  • Develop robust computational pipelines for image reconstruction, preprocessing, registration, quality control, statistical analysis, and visualization.
  • Analyze large-scale functional imaging datasets using modern statistical and machine learning approaches.
  • Register imaging data across sessions and animals to generate high-resolution anatomical and functional brain atlases.
  • Integrate fUSI with electrophysiology and other neural recording and perturbation modalities to create comprehensive maps of brain function.
  • Collaborate closely with engineers and software developers to continuously improve imaging hardware and acquisition software.
  • Mentor research technicians, and at the senior or principal level, more junior scientists and engineers; contribute to hiring, onboarding, and lab culture.
  • Publish scientific discoveries using Open Science and FAIR principles, and contribute to open datasets, software, and technical documentation.
Who You AreRequired
  • Experience with in vivo functional ultrasound imaging, or with comparable high-resolution neuroimaging technologies.
  • Experience designing and executing neuroscience experiments in primates, including awake macaque fMRI.
  • Strong scientific programming skills in Python and/or MATLAB.
  • Understanding of primate neuroanatomy, image registration, and atlas construction.
  • Experience with image reconstruction and signal processing.
  • Experience analyzing large-scale imaging, electrophysiology, or multimodal neuroscience datasets, including with machine learning or computational neuroscience methods.
  • Ability to work at close quarters with software engineers, hardware engineers, and neuroscientists in a fast-moving, multi-team environment.
  • Track record of mentorship and technical leadership.
What We Value
  • Conviction that the brain's internal model can be understood in full, and recognition that getting there requires a kind of science no single academic lab can do. We are betting on scale, on deep collaboration across science and engineering, and on open sharing of ideas and expertise in a full-stack environment.
  • Appetite for building a capability that does not yet exist. You enjoy building new experimental systems as much as answering scientific questions, and you are comfortable moving between hardware, software, and data analysis.
  • Willingness to be held to an engineering standard. Our decisive tests are write-in experiments: constructing a specific percept, thought, or internal state, not merely decoding one. What we cannot build, we do not understand.
  • Comfort building on shared infrastructure rather than private projects. Recordings and perturbations will be registered onto a common whole-brain functional and anatomical atlas, and datasets are designed to stitch across sessions, animals, and paradigms.
  • Commitment to open science. We will release tools, data, and methods, and we aim to create a new dynamic of rapid, open exchange in neuroscience.
Education

PhD with 4-12+ years of experience in neuroscience, bioengineering, physics, electrical engineering, or a related field is preferred. Equivalent demonstrated expertise will also be considered.

Compensation

Total compensation is competitive and commensurate with the level of experience and qualifications.

Why Join Us

We are seeking an exceptional Research Scientist or Research Engineer to lead the development of a next-generation functional ultrasound imaging (fUSI) platform for whole-brain imaging in awake, behaving primates. This is an opportunity to build a unique experimental capability from the ground up and generate datasets that could redefine how large-scale neural activity is measured. If you enjoy designing sophisticated experimental systems, solving challenging technical problems, and combining engineering, neuroscience, and computation into a single platform, we’d love to hear from you.

We are an equal opportunity employer and value diversity and inclusion.

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