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Neural Modeling Jobs (NOW HIRING)

ProKatchers LLC

IBM DB2 Consultant

Trenton, NJ · On-site

... neural modeling technology, have successfully taken what used to be more of an art and a hope process to a very scientific - quantifiable process - almost like matching DNA. We get immense pride from ...

ProKatchers LLC

IBM DB2 Consultant

Trenton, MI · On-site

... neural modeling technology, have successfully taken what used to be more of an art and a hope process to a very scientific - quantifiable process - almost like matching DNA. We get immense pride from ...

Quadric

AI Performance Modeling Engineer

Burlingame, CA · On-site

$200 - $250/hr

About Quadric Quadric is redefining edge AI with the industry's first General Purpose Neural ... These models directly guide team decisions on hardware lane bindings, tensor placement, and ...

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How much do neural modeling jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for neural modeling in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.

What is neural modeling?

Neural modeling is the process of creating mathematical or computational models that simulate the structure, function, and behavior of neural systems, such as the brain or artificial neural networks. These models help researchers understand how neurons and neural circuits process information, learn, and adapt. Neural modeling is widely used in neuroscience to study brain function and in artificial intelligence to develop machine learning algorithms inspired by biological systems. It bridges the gap between biology, computer science, and mathematics to advance our understanding of both natural and artificial intelligence.

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

To thrive as a Neural Modeler, you need a strong background in computational neuroscience, mathematics, and programming, typically supported by an advanced degree in neuroscience, computer science, or a related field. Experience with simulation software (such as NEURON or Brian), coding in Python or MATLAB, and familiarity with machine learning frameworks are commonly required. Analytical thinking, creativity, and strong problem-solving abilities are standout soft skills in this role. These competencies are vital for developing accurate models of neural systems, interpreting complex data, and driving advances in brain research and technology.

What are some typical challenges faced by professionals working in neural modeling, and how can they be overcome?

Professionals in neural modeling often encounter challenges related to the complexity of biological data, the need for interdisciplinary collaboration, and the computational demands of simulating neural systems. Navigating these challenges requires strong analytical skills, familiarity with both neuroscience and computational techniques, and effective communication with colleagues from diverse backgrounds such as biology, computer science, and mathematics. Staying updated on the latest modeling tools and methods, participating in collaborative projects, and engaging in continuous learning through workshops or seminars can help neural modelers successfully address these obstacles and contribute impactful research.

What other helpful pages are available for Neural Modeling?

Other pages related to Neural Modeling:

Infographic showing various Neural Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.

Fellow in Biohybrid Systems & Neural Interfaces - Harvard Bionics Lab

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Harvard Universityexternal

$50K - $70K/yr

Full-time

Re-posted 28 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

83rd of 633 rated colleges and universities

Job description

Position
Details
Title
Fellow in Biohybrid Systems & Neural Interfaces - Harvard Bionics Lab
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Bioengineering
Position Description
The Harvard Bionics Lab is seeking a Fellow to support experimental and translational research at the interface of neural engineering, bioelectronics, and physiology. The role focuses on developing and evaluating sensing technologies for peripheral nerve and organ interfacing, with an emphasis on in vivo rodent (rat/mouse) models.
The Fellow will work closely with a multidisciplinary team to design, build, and test sensor systems for recording neural and physiological signals. Responsibilities include conducting survival surgeries in rodents, performing electrophysiological recordings, developing and prototyping sensing hardware, and executing structured data collection protocols.
The candidate will contribute to experiments involving nerve interfacing, signal acquisition, and biomarker-driven systems. This includes working with peripheral nerves, muscles, and/or organ systems to quantify physiological responses and neural activity. The role will also involve analyzing datasets, maintaining rigorous experimental documentation, and supporting iterative device development.
A significant portion of the work will require hands-on experimentation, including rodent handling, surgical procedures, and electrophysiology. The candidate is expected to operate independently within defined protocols and contribute to troubleshooting and optimization of experimental systems.
Basic Qualifications
  • Bachelor's or Master's degree in Bioengineering, Biomedical Engineering, Neuroscience, Physiology, or Electrical Engineering
  • Prior hands-on experience with rat or mouse models (required)

Additional Qualifications
  • At least 1-2 years of research experience in an academic or industry lab setting
  • Experience with electrophysiology (neural recording, EMG, or related techniques)
  • Exposure to sensor design, bioinstrumentation, or embedded systems
  • Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis)
  • Familiarity with surgical techniques or willingness to be trained in rodent survival surgeries
  • Strong organizational skills and attention to experimental rigor and reproducibility

Special Instructions
  • Candidates must be available for a full-time, 12-month commitment
  • Applications should include a CV and brief statement of research experience
  • At least two references required

Contact Information
Allison Choat
Contact Email
achoat@g.harvard.edu
Salary Range
$50,000 - $70,000
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
2
Maximum Number of References Allowed
3
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