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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

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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$37K

$87.2K

$136.5K

How much do neuroscience engineer jobs pay per year?

As of Jul 17, 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.

Can you go into engineering with a neuroscience degree?

Neuroscience engineers often have backgrounds in biology, neuroscience, or biomedical engineering, but transitioning into engineering roles typically requires additional training in engineering principles, programming, or related technical skills. Many pursue further education such as a master's or certification in engineering disciplines to qualify for engineering positions. Practical experience with tools like MATLAB, Python, or lab equipment can also enhance employability in engineering roles related to neuroscience.

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

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.

How much does a neuroscience engineer make?

The average salary for a neuroscience engineer ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this field often work in research institutions, healthcare, or biotech companies, and advanced skills in neurotechnology and programming can influence earning potential.

What does a neuroscience engineer do?

A neuroscience engineer designs and develops technologies to study and treat the nervous system, such as brain-computer interfaces, neural implants, and diagnostic tools. They often work with interdisciplinary teams, utilize engineering principles, and may require knowledge of biology, electronics, and programming. Their work supports advancements in medical devices, neuroprosthetics, and neurological 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.

What is the highest paying job in neuroscience?

The highest paying roles in neuroscience often include senior research directors, neuroscience department heads, or specialized clinical neurophysiologists, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and expertise in neuroimaging, neurotechnology, or clinical practice.
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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 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $87,220 per year, or $41.9 per hour.

Neuroscience PhD - Inference Modelling (Founding Role)

Clera

San Francisco, CA • On-site

$150K/yr

Full-time

Posted 6 days ago

Job description

About the Role

A Y Combinator–backed consumer wearable startup at the frontier of emotional intelligence is hiring a founding Neuroscience PhD to own the core inference model that quantifies emotional states from wearable sensor data. This is a rare opportunity to join a five-person team at the ground floor, bridging cutting-edge computational neuroscience research with production machine learning — with real ownership and equity from day one.

The company builds a wearable device that tracks and trains emotional intelligence (EQ), processing hundreds of audio and biometric signals to surface actionable emotional state metrics in real time. Prototypes are already on users' wrists. The mission: make EQ measurable and trainable in an era where AI commoditises cognitive intelligence.

What You'll Do

  • Design, develop, and iterate on the inference model that quantifies emotional states (energy, mood, focus) from multi-modal wearable sensor data

  • Bridge neuroscience research and production ML — you will function equally as a research scientist and an ML engineer

  • Evaluate and deploy models at scale, maintaining rigour from experimental design through to on-device or cloud inference

  • Apply active inference frameworks and computational neuroscience methods to novel, real-world signal problems

  • Help define the scientific roadmap as a founding team member, with the expectation of building and leading a research org as the company scales

What We're Looking For

Required

  • PhD in computational neuroscience, cognitive science, active inference, or a closely related field (dealbreaker)

  • Demonstrated experience building and deploying inference models to quantify physiological or emotional states from wearable or biosensor data

  • Strong ML engineering skills: model development, evaluation pipelines, and production deployment

  • Hands-on experience with active inference frameworks and computational neuroscience methods

  • Proficiency in Python and relevant scientific/ML tooling

  • Ability to work on-site in San Francisco or London

Nice to Have

  • Experience with multi-modal biosignal processing (EEG, PPG, GSR, audio, etc.)

  • Prior experience in a fast-moving early-stage startup environment

  • Interest in consumer hardware and the intersection of neuroscience and product

Not a fit: Wet-lab-only neuroscience backgrounds without computational or ML experience.

Compensation & Benefits

  • Salary: ~$150,000 USD (San Francisco) / ~£75,000 GBP (London)

  • Equity: Up to 1–2% (founding team stake)

  • The company has recently closed a seed round with angels and strategic partners

  • Visa sponsorship: Not available for new visas; existing visa transfers considered

Location

On-site in San Francisco, CA, USA or London, UK. Location is flexible between the two offices. This is not a remote role.