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Neural Science Jobs (NOW HIRING)

Research Scientist, Neural Reconstruction

OR · On-site +1

$155K - $269K/yr

As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially ...

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

Required : • BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related ... neural rendering (NeRF, Gaussian splatting, differentiable rendering) or generative AI for 3D ...

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

Neural techniques are reshaping how we render, simulate, and create visual content in real time ... PhD in Computer Science, Electrical Engineering, Physics, or a related field (or equivalent ...

Neural Graphics Engineer

Santa Clara, CA · On-site

$163K - $201K/yr

Neural techniques are reshaping how we render, simulate, and create visual content in real time ... PhD in Computer Science, Electrical Engineering, Physics, or a related field (or equivalent ...

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Neural Science information

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$24K

$104.6K

$194.5K

How much do neural science jobs pay per year?

As of Jul 30, 2026, the average yearly pay for neural science in the United States is $104,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by neural scientists when conducting research, and how can they be addressed?

Neural scientists often encounter challenges such as securing funding for long-term studies, dealing with complex data analysis, and ensuring ethical treatment of subjects. Collaborating closely with interdisciplinary teams—such as computer scientists, engineers, and clinicians—can help address technical and analytical hurdles. Additionally, staying current with advancements in neuroimaging and data processing tools, and participating in professional networks, can provide valuable support and resources for overcoming these challenges.

Is neuroscience a high paying job?

Neuroscience careers, such as research scientists or clinical neuropsychologists, tend to have moderate to high salaries depending on experience, education, and location. Advanced roles in academia, industry, or healthcare often offer higher compensation, especially for those with specialized skills or advanced degrees like a Ph.D. or M.D.

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

To thrive as a Neural Scientist, you need a deep understanding of neuroscience, biology, and research methodologies, typically supported by an advanced degree (PhD or MD) in a related field. Familiarity with laboratory techniques, neuroimaging tools (like MRI or EEG), and data analysis software such as MATLAB or Python is essential. Critical thinking, problem-solving, and strong communication skills help in interpreting complex data and collaborating with multidisciplinary teams. These skills are crucial for advancing scientific knowledge, conducting impactful research, and effectively sharing discoveries within the field.

What is the difference between Neural Science vs Neuroscience?

AspectNeural ScienceNeuroscience
Required CredentialsBachelor's or Master's in Neuroscience, Psychology, or related fieldsBachelor's or Master's in Neuroscience, Biology, or related fields
Work EnvironmentResearch labs, universities, healthcare settingsResearch institutions, hospitals, academic settings
Industry UsageFocuses on neural mechanisms, brain functions, neural networksBroad study of the nervous system, including neural and behavioral aspects

Neural Science and Neuroscience are closely related fields that often overlap. Neural Science typically emphasizes understanding neural mechanisms and brain functions at a detailed level, often with a focus on neural networks and systems. Neuroscience is a broader discipline that encompasses the study of the entire nervous system, including behavioral and cognitive aspects. Both fields require similar educational backgrounds and are used in research, healthcare, and academia, but Neural Science tends to be more specialized in neural processes.

What is neural science?

Neural science, also known as neuroscience, is the study of the nervous system, including the brain, spinal cord, and networks of neurons. It seeks to understand how these systems function at molecular, cellular, and behavioral levels, and how they control thought, emotion, and behavior. Neural science combines biology, psychology, chemistry, computer science, and other fields to explore how the brain processes information and how neurological disorders can be treated. Careers in neural science can involve research, clinical practice, or technology development related to brain health and cognitive function.

What can you do with a neural science degree?

A neural science degree prepares individuals for careers in research, healthcare, and technology, including roles such as neuroscientist, research scientist, clinical neuropsychologist, or data analyst. It often involves skills in laboratory techniques, data analysis, and understanding neural systems, with opportunities in academia, healthcare institutions, biotech companies, and tech firms working on brain-computer interfaces or AI applications.

What are 5 potential jobs for neurology?

Neural science graduates can pursue careers such as clinical neurologist, neuroscience researcher, neuropsychologist, neuroimaging technician, or neurological surgeon. These roles often require specialized training, certifications, and knowledge of neuroanatomy, neurophysiology, and medical tools like MRI or EEG equipment. Job opportunities are available in hospitals, research institutions, and healthcare facilities.

What kind of careers are in neuroscience?

Careers in neuroscience include roles such as research scientist, clinical neuropsychologist, neuroimaging technician, and pharmaceutical researcher. These positions often require strong backgrounds in biology, psychology, or related fields, along with skills in data analysis, laboratory techniques, and sometimes advanced degrees or certifications.
More about Neural Science jobs
Infographic showing various Neural Science job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 62% Full Time, 19% Part Time, 1% Contract, and 16% Nights. Highlights an 70% Physical, 2% Hybrid, and 28% Remote job distribution, with an average salary of $104,609 per year, or $50.3 per hour.

Systems Administrator - Center for Neural Science

New York University

New York, NY

$70K - $75K/yr

Full-time

Posted 6 days ago


New York University rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

97th of 613 rated colleges and universities


Job description

Arts & Science is seeking a dedicated Systems Administrator to join the Center for Neural Science. This individual will respond to incoming incidents and provide incident management. Provide first line trouble shooting and tier one server support, which includes diagnosing repairing hardware, recommending solutions, checking that problems have been corrected, and maintaining solutions schema documentation. Facilitating smooth operation of hardware and software on computing systems. Play a central role in support of departmental computing systems; supporting installation, testing, maintenance, upgrades and administration of operating system and application software; monitoring backup systems for performance , and implementing security. Assisting with implementation and execution of system policies measures to adhere with departmental policies and standards. Develop network solutions to address present and future needs, including analyzing network hardware and software needs and recommending changes and upgrades to promote efficient service to all users. Assist with website design, data archival, and distribution methods. Ensure that systems are in compliance with University IT policies; coordinate procurement and vendor contract negotiations; and supervise.


Required Education:
Bachelor's Degree
Preferred Education:
Bachelor's Degree or equivalent n Computer Science, Computer Programming, Engineering, or Information Technology.
Required Experience:
2+ years years of relevant experience with system administration including installation, maintenance, and support or an equivalent combination of education and experience. Must have experience with operating systems, servers, hardware, network administration, authentication systems, client-server applications, designing/developing system enhancements and software applications, scripting experience, application software, protocols, tools, and utilities. Experience with capacity planning, monitoring, and maintenance of Linux and Windows servers and the services they provide. Experience providing administration and support to 24x7 production systems.
Preferred Experience:
3+ years years of experience with architecture, implementing and administering Linux and Windows based solutions, experience managing storage devices such as NAS’, troubleshooting and solving difficult system problems (hardware, software, and basic networking). Experience administering servers hosting Active Directory, Apache, Virtual Machines, MS SQL. Experience with Ansible, Puppet, BigFix, WorkspaceOne, BeyondTrust, InsightVM, CortexXDR, Splunk, Tufin and automation technologies. Experience working in a global delivery environment. Experience managing and implementing projects with Active Directory, Privileged Access Management (PAM), and multi-factor and single sign-on authentication.
Required Skills, Knowledge and Abilities:
Familiarity with multi-vendor hardware/software management, security, network/Internet protocols. May require any of the following: problem identification/resolution, performance management/tuning. Knowledge of related large-scale computing systems and/or product installs and maintenance. Ability to provide technical support for complex, large-scale computing systems projects. Ability to clearly communicate technical concepts to non-technical audience. Excellent organizational and written and verbal communication skills. Familiarity with Endpoint Management & Patch Policy, Vulnerability Remediation, Microsoft Windows Server, MacOS, Active Directory, Redhat Linux, NAS Raid Arrays, File Transfer Protocols, ACL’s, production support in a distributed system environment.
Preferred Skills, Knowledge and Abilities:
Strong experience in supporting large Linux and Windows server environments. Experience in managing, monitoring, deploying, and troubleshooting servers. Demonstrate knowledge and extensive experience with enterprise technical environments, including IP Segmentation & Firewalling, DNS, VLANS, InfoSec, and related technologies. Knowledge of enterprise-class backup and disaster recovery environments including failover and data restoration techniques, . Knowledge of cloud technology and hybrid cloud implementation a plus. Proficient in scripting languages such as PowerShell, Bash & Python. VCP, ITIL and Red Hat/Microsoft certifications a plus. Planning, coordinating, and monitoring project activities. In-depth experience with Disaster Recovery and Avoidance planning. Knowledge of cloud providers including AWS, Azure, and GC as well as on-prem server equipment (Synology NAS, Dell PowerEdge). Deployment and cloud integration of NEAT/ZOOM AV conferencing nodes.


In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $70,000.00 to USD $75,000. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, clinical compensation, or other items.
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen.
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply at all levels.


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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831