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Neuroscience Engineer Jobs (NOW HIRING)

Neuralink

Field Clinical Engineer

Austin, TX · On-site

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the ...

Arvinas

Arvinas uses its proprietary PROTAC Discovery Engine platform to engineer PROteolysis TArgeting ... Leads the neuroscience organization with bold new vision, clarity, purpose, and scientific ...

Arvinas

Vice President, Neuroscience

New Haven, CT

Arvinas uses its proprietary PROTAC Discovery Engine platform to engineer PROteolysis TArgeting ... Leads the neuroscience organization with bold new vision, clarity, purpose, and scientific ...

Arvinas

Vice President, Neuroscience

New Haven, CT · On-site

Arvinas uses its proprietary PROTAC Discovery Engine platform to engineer PROteolysis TArgeting ... Leads the neuroscience organization with bold new vision, clarity, purpose, and scientific ...

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Neuroscience Engineer information

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$87.2K

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How much do neuroscience engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for neuroscience engineer in the United States is $87,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $97,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a neuroscience engineer?

To thrive as a Neuroscience Engineer, you need a strong background in neuroscience, biomedical engineering, or a related field, often supported by an advanced degree. Familiarity with neuroimaging tools, signal processing software, programming languages (such as Python or MATLAB), and relevant certifications like Certified Neurotechnologist (CNT) are commonly required. Excellent problem-solving, interdisciplinary collaboration, and effective communication are crucial soft skills in this role. These skills and qualifications are important to develop innovative neurotechnological solutions and effectively bridge the gap between engineering and neuroscience research.

What is a neuroscience engineer?

A Neuroscience Engineer is a professional who combines principles of neuroscience and engineering to develop technologies that interact with the nervous system. They work on designing devices such as brain-computer interfaces, neural prosthetics, and tools for diagnosing or treating neurological disorders. Neuroscience Engineers collaborate with neuroscientists, physicians, and other engineers to translate scientific discoveries into practical applications that can help understand or treat brain-related conditions. Their work often involves programming, signal processing, and biomedical device development.

What are some common challenges faced by neuroscience engineers when working on interdisciplinary teams?

Neuroscience Engineers often collaborate with neuroscientists, clinicians, and software developers, which means bridging gaps in terminology and aligning different priorities can be challenging. Effective communication is crucial to ensure everyone understands project goals, technical constraints, and research outcomes. Additionally, integrating biological data with engineering models requires adaptability and a willingness to continuously learn from colleagues in other fields. Overcoming these challenges leads to innovative solutions and fosters a dynamic, rewarding work environment.

What is the difference between Neuroscience Engineer vs Biomedical Engineer?

AspectNeuroscience EngineerBiomedical Engineer
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Bioengineering, or related fields
Work EnvironmentResearch labs, healthcare tech companies, neuroscience research facilitiesHospitals, medical device companies, research labs
Industry UsageFocus on neural systems, brain-computer interfaces, neurotechnologyMedical devices, prosthetics, imaging systems

Neuroscience Engineers specialize in neural systems and neurotechnology, often working on brain-computer interfaces and neural data analysis. Biomedical Engineers have a broader focus on medical devices and healthcare solutions. While both roles require similar educational backgrounds and work in research or healthcare environments, their specific applications and areas of expertise differ.

More about Neuroscience Engineer jobs
What cities are hiring for Neuroscience Engineer jobs? Cities with the most Neuroscience Engineer job openings:
What states have the most Neuroscience Engineer jobs? States with the most job openings for Neuroscience Engineer jobs include:
What job categories do people searching Neuroscience Engineer jobs look for? The top searched job categories for Neuroscience Engineer jobs are:
Neuroscience Engineer jobs near you
Infographic showing various Neuroscience Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $87,220 per year, or $41.9 per hour.

Field Clinical Engineer

Neuralink

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted just now

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what's possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink's BCI technology for use in people!
Job Description and Responsibilities:
As a Field Clinical Engineer, you will be on the front lines of Neuralink's clinical programs, working directly with participants, clinicians, and internal teams to translate cutting-edge neurotechnology into meaningful functional outcomes. This role is ideal for individuals with a background in PM&R, occupational therapy, or physical therapy who also have experience in medical devices and thrive in dynamic clinical environments.
You will play a critical role in bridging clinical care, engineering, and research by supporting device use, optimizing participant performance, and ensuring high-quality data collection in both clinical and home settings.
This role requires someone who is hands-on, clinically grounded, technically curious, and able to adapt quickly. You should be comfortable working with participants with significant neurological impairments and motivated by improving independence and quality of life.
In this role, you will:
  • Work directly with study participants to support device use, training, and optimization during clinical sessions and at home
  • Apply principles of rehabilitation (PM&R, OT, PT) to maximize participant outcomes and functional performance with the system
  • Collaborate closely with surgeons, investigators, and site staff to ensure seamless clinical execution across all phases of the study
  • Serve as the primary interface between participants and the technology, troubleshooting issues in real time and escalating when needed
  • Support surgical and post-operative workflows, including intraoperative and early post-implant sessions where applicable
  • Ensure high-quality, protocol-compliant data collection by aligning participant activities with study endpoints and data capture requirements
  • Partner with clinical, engineering, and data teams to translate real-world use into actionable insights for product and algorithm development
  • Identify trends in participant performance, usability challenges, and safety signals, and communicate clearly to cross-functional teams
  • Contribute to development and refinement of training protocols, user workflows, and clinical best practices
  • Support site onboarding, training, and ongoing engagement to ensure consistency and scalability across clinical sites
  • Assist in preparation for regulatory inspections and ensure activities are conducted in compliance with GCP, protocol requirements, and internal procedures
  • Travel to clinical sites as needed to support study execution and participant care

The ideal candidate:
  • Has a clinical background in PM&R, occupational therapy, or physical therapy, with hands-on experience working with neurological populations (e.g., SCI, ALS, stroke)
  • Has experience working with medical devices in a clinical or field-based role
  • Is highly adaptable, proactive, and comfortable operating in a fast-paced, evolving environment
  • Is technically curious and able to engage with engineers to troubleshoot and improve system performance
  • Communicates clearly and builds trust with participants, clinicians, and cross-functional teams
  • Is detail-oriented and understands the importance of protocol adherence and data integrity in clinical research

Required Qualifications:
  • Clinical training and hands-on experience in PM&R, occupational therapy, or physical therapy, with a focus on neurological populations (e.g., SCI, ALS, stroke)
  • 3+ years of experience in a clinical, field-based, or medical device-adjacent role (rehab, neuromodulation, assistive technology, or similar)
  • Demonstrated experience working directly with patients and clinicians in dynamic care environments
  • Strong problem-solving skills with the ability to troubleshoot clinical and technical issues in real time
  • Ability to interpret participant performance, functional outcomes, and device behavior to inform next steps
  • Comfort working with technology, including basic data review and interaction with software-driven systems (no need to be a coder, but not afraid of one either)
  • Working knowledge of clinical research principles, including protocol adherence, endpoint-driven activities, and data quality expectations
  • Familiarity with Good Clinical Practice (GCP) and general clinical study conduct
  • Ability to collaborate effectively across clinical, engineering, and operations teams
  • Strong communication skills, with the ability to engage both participants and highly technical teams
  • High attention to detail, with the ability to manage multiple participants, sites, and priorities simultaneously
  • Willingness to travel frequently to support clinical sites and participants

Preferred Qualifications:
  • Degree or formal training in bioengineering, biomedical engineering, or a related field, with exposure to neurotechnology or implantable systems
  • Experience working with neuromodulation, brain-computer interfaces, or other neurorehabilitation technologies
  • Prior experience in a clinical field engineer, clinical specialist, or applications role within a medical device company
  • Experience supporting surgical procedures, intraoperative environments, or early post-implant programming and troubleshooting
  • Familiarity with signal-based systems (e.g., neural data, EMG, EEG) and comfort interpreting system performance in real time
  • Exposure to rehabilitation technology integration, including assistive devices, digital interfaces, or adaptive control systems
  • Experience supporting multi-site clinical studies or working directly with investigators and study coordinators
  • Comfort working with data systems (e.g., EDC platforms, basic data visualization tools) to review participant performance and study metrics
  • Understanding of usability, human factors, and patient-centered design principles
  • Prior involvement in training clinicians or participants on device use and workflows
  • Experience working in early-stage or rapidly evolving clinical programs where processes are still being defined

Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$89,000-$250,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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