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Computational Neuroscience Jobs (NOW HIRING)

Synaptrix Labs

Grant Writer (PhD)

New York, NY

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build ...

Synaptrix Labs

Grant Writer (PhD)

New York, NY · On-site

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build ...

Synaptrix Labs

Grant Writer (PhD)

New York, NY · On-site

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build ...

DePaul

CSH Adjunct Faculty - Neuroscience

Chicago, IL · On-site

$4.2K - $5.6K/wk

Introduction to Neuroscience, Physiological Psychology, Cellular Neurobiology, Computational Neuroscience, Neurodevelopment, and Neuroscience Research Methods or upper level course in a Neuroscience ...

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How much do computational neuroscience jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for computational neuroscience 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.

How do you become a computational neuroscientist?

To become a computational neuroscientist, one typically earns a bachelor's degree in neuroscience, computer science, or a related field, followed by a master's or Ph.D. in computational neuroscience or a similar discipline. Developing skills in programming, mathematical modeling, and data analysis, along with experience using tools like MATLAB or Python, is essential for research and job opportunities in this field.

What are the key skills and qualifications needed to thrive as a Computational Neuroscientist, and why are they important?

To thrive as a Computational Neuroscientist, you need a strong background in neuroscience, mathematics, and computer science, often supported by an advanced degree (PhD or MSc) in a related field. Proficiency with programming languages (such as Python or MATLAB), computational modeling software, and data analysis tools is typically required. Critical thinking, problem-solving, and effective collaboration are standout soft skills in this interdisciplinary field. These skills and qualities enable the development and interpretation of complex brain models, driving scientific discovery and innovation in neuroscience.

What is the difference between Computational Neuroscience vs Neuroscientist?

AspectComputational NeuroscienceNeuroscientist
Required CredentialsAdvanced degrees in neuroscience, computer science, or related fieldsTypically PhD in neuroscience or related disciplines
Work EnvironmentResearch labs, universities, tech companies focusing on modeling and data analysisResearch institutions, hospitals, universities studying brain function
Industry UsageDevelops models, algorithms, and simulations of neural systemsInvestigates brain mechanisms, conducts experiments, publishes research

Computational Neuroscience focuses on creating models and simulations of neural systems using computational methods, while Neuroscientists primarily conduct experimental research to understand brain function. Both roles often collaborate but differ in their approach and tools used.

What Is Computational Neuroscience?

Computational neuroscience involves studying brain function through computer modeling and mathematical analysis. Computational neuroscientists perform research in which they collect data and create computer models based on the electrical patterns and biological functions of the brain. Researchers in this field may focus on making connections between brain functions and cognition, sensory experience, or the behavior of the central nervous system. They may use computer models and data to create theoretical models. Other scientists may test the models to see if they have biological or psychological applications.

What is computational neuroscience?

Computational neuroscience is an interdisciplinary field that uses mathematical models, computer simulations, and theoretical analysis to understand how the brain processes information. Researchers in this field aim to explain neural phenomena by modeling the functions of neurons, neural circuits, and overall brain systems. By combining principles from neuroscience, computer science, physics, and mathematics, computational neuroscience helps bridge the gap between biological data and theoretical understanding, ultimately advancing our knowledge of brain function and cognition.

What are some common challenges faced by professionals in computational neuroscience, and how can they be addressed?

Professionals in computational neuroscience often encounter challenges such as integrating diverse data types (e.g., electrophysiological, imaging, and behavioral data) and keeping up with rapidly evolving computational tools and methods. Collaborating closely with experimental neuroscientists and computer scientists is essential to bridge knowledge gaps and ensure robust model development. Continuous learning through workshops, conferences, and online courses can help professionals stay current with new techniques and best practices in the field.

What is the highest paying job in neuroscience?

In neuroscience, senior research directors, neuroscience department heads, and industry executives tend to have the highest salaries, often exceeding six figures annually. These roles typically require advanced degrees, extensive experience, and leadership skills, with some positions in biotech or pharmaceutical companies offering the highest compensation.

How hard is computational neuroscience?

Computational neuroscience is a challenging field that requires strong skills in mathematics, programming, and neuroscience concepts. It often involves advanced coursework, research, and proficiency with tools like MATLAB or Python, making it suitable for individuals with a solid technical background and problem-solving abilities.

How much do computational biologists get paid?

Computational biologists typically earn a median annual salary of around $80,000 to $100,000, with experienced professionals and those in senior roles earning over $120,000. Salaries vary based on education, experience, location, and the complexity of projects, often requiring skills in programming, data analysis, and biological sciences.
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Computational Neuroscience jobs near you
Infographic showing various Computational Neuroscience job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 70% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Grant Writer (PhD)

Synaptrix Labs

New York, NY

Full-time

Medical, PTO

Posted 18 days ago

Job description

About Synaptrix Labs Inc.

Synaptrix is building the future of non-invasive brain-computer interfaces.

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build systems that can restore communication, mobility, and autonomy, while laying the foundation for a new era of human-computer interaction.

We're looking for a full-time Grant Writer (PhD) to lead and support high-quality grant submissions across NIH, NSF, DoD, BARDA, ARPA-H, and other non-dilutive funding programs. This person will work closely with leadership, research, and technical teams to help Synaptrix secure funding that accelerates both our science and product roadmap.

Responsibilities:
  • Lead drafting and submission of grants across NIH, NSF, DoD, ARPA-H, and related agencies
  • Translate Synaptrix's technical work into clear, compelling, fundable proposals
  • Manage the full grant lifecycle: opportunity identification, writing, submission, revisions, and reporting
  • Work closely with leadership, scientists, and engineers to shape specific aims, technical narratives, milestones, and budgets
  • Help structure research roadmaps around grantable workstreams and strategic funding opportunities
  • Support subcontractor / academic collaborator coordination when relevant
  • Maintain a pipeline of upcoming non-dilutive funding opportunities relevant to Synaptrix
Minimum Qualifications:
  • PhD in Neuroscience, Biomedical Engineering, Computer Science, Bioengineering, or related field
  • Strong experience writing and/or supporting successful NIH, NSF, DoD, or equivalent federal grant submissions
  • Excellent scientific and technical writing skills
  • Ability to understand and communicate complex interdisciplinary work across AI, neurotechnology, signal processing, and medical devices
  • Highly organized and able to independently manage multiple deadlines and submissions
  • Strong judgment, ownership, and attention to detail
Preferred Qualifications:
  • Prior experience in neurotechnology, BCI, computational neuroscience, medical devices, or translational biotech
  • Familiarity with SBIR/STTR, R01/R21, NSF translational grants, or defense-related funding mechanisms
  • Experience working directly with startup founders, principal investigators, or technical R&D teams
  • Comfort contributing to scientific strategy, framing research directions in ways that are both ambitious and fundable
  • Experience with grant reporting, progress updates, and compliance documentation
About our Culture:

We care a lot about talent density, speed, and intellectual honesty.

Synaptrix is a small, ambitious team working on a problem that actually matters. We value people who can think clearly, write sharply, move fast, and operate with high ownership. We are deeply mission-driven, highly technical, and serious about building something important.

What We Offer:
  • Competitive pay + equity
  • Health benefits
  • A chance to help shape the future of neurotechnology and non-invasive BCI
  • High ownership and direct exposure to company strategy, research, and fundraising
  • Growth potential for team members who have outsized impact
  • Paid holidays, unlimited PTO