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Neuroscience Engineering Jobs in Texas (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Clinical Research Associate

Austin, TX ยท On-site

$89K - $148K/yr

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 ...

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Neuroscience Engineering information

See Texas salary details

$32.6K

$86.6K

$161.2K

How much do neuroscience engineering jobs pay per year?

As of Aug 3, 2026, the average yearly pay for neuroscience engineering in Texas is $86,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $106,200.00 per year, depending on experience, location, and employer.

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

One common challenge in Neuroscience Engineering is navigating the interdisciplinary nature of the field, as it requires collaboration between neuroscientists, engineers, and clinicians. Professionals often need to bridge gaps in communication and coordinate complex research or development projects across different domains. Staying current with advances in both neuroscience and engineering can also be demanding. Building strong cross-functional teams, actively engaging in continuous learning, and fostering open communication channels are effective ways to address these challenges.

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, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or MATLAB), neuroimaging tools (like fMRI or EEG), and data analysis software is essential. Problem-solving, interdisciplinary collaboration, and effective communication are standout soft skills in this role. These competencies enable the development of innovative neural technologies and foster successful teamwork in complex research or clinical environments.

What does a neuroscience engineering do?

A neuroscience engineer designs and develops technologies to study and interface with the nervous system, such as brain-computer interfaces, neural implants, and imaging tools. They often work with interdisciplinary teams, utilize skills in engineering, biology, and computer science, and may require knowledge of signal processing and neurophysiology.

Can you go into engineering with a neuroscience degree?

Neuroscience engineering roles often require knowledge of both neuroscience and engineering principles, such as signal processing, programming, and device design. With a neuroscience degree, gaining additional skills in engineering, coding, or related certifications can help transition into engineering positions in this field.

What is the difference between Neuroscience Engineering vs Biomedical Engineering?

AspectNeuroscience EngineeringBiomedical Engineering
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, universitiesHospitals, medical device companies, research institutions
Industry UsageFocuses on neural systems, brain-computer interfaces, neurotechnologyDesigns medical devices, prosthetics, imaging systems
Common Search/ComparisonNeuroscience Engineering vs Biomedical Engineering

Neuroscience Engineering and Biomedical Engineering share overlapping skills and work environments, but Neuroscience Engineering specializes in neural systems and neurotechnology, while Biomedical Engineering covers a broader range of medical devices and systems. Both fields are vital in advancing healthcare technology and often collaborate in research and development.

What is neuroscience engineering?

Neuroscience engineering is an interdisciplinary field that combines principles of neuroscience and engineering to study, model, and manipulate the nervous system. Professionals in this field develop technologies such as brain-computer interfaces, neural implants, and devices for diagnosing or treating neurological disorders. They work at the intersection of biology, electronics, computer science, and mathematics to advance our understanding of the brain and develop innovative medical or research solutions. This field is critical for advancements in neuroprosthetics, neuroimaging, and therapies for conditions like epilepsy or paralysis.
What are popular job titles related to Neuroscience Engineering jobs in Texas? For Neuroscience Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Neuroscience Engineering jobs in Texas look for? The top searched job categories for Neuroscience Engineering jobs in Texas are:
What cities in Texas are hiring for Neuroscience Engineering jobs? Cities in Texas with the most Neuroscience Engineering job openings:
Infographic showing various Neuroscience Engineering job openings in Texas as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $86,603 per year, or $41.6 per hour.

Clinical Scientist

Neuralink

Austin, TX โ€ข On-site

Other

Re-posted 4 days ago


Job description

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 Clinical Scientist I, you will support the development, design, and execution of Neuralink's clinical evidence strategy. This role focuses on translating product and research objectives into clinical study designs, supporting data analysis, and ensuring scientific rigor across clinical programs.

This individual isย  a self-driven and analytically strong individual who can contribute to clinical strategy while executing with precision. The ideal contributor is detail-oriented, collaborative, and comfortable working in a fast-paced, multidisciplinary environment.

In this role, you will:

  • Support the design and development of clinical study protocols, including endpoints, inclusion/exclusion criteria, and statistical considerations
  • Contribute to clinical strategy by translating research and product goals into evidence-generating study plans
  • Partner with other team members to support execution of clinical studies and ensure alignment between scientific intent and operational delivery
  • Build and maintain strong working relationships with internal teams, investigators, and external partners
  • Support preparation of study-related documents, including protocols, investigator brochures, clinical study reports, and regulatory submissions
  • Contribute to EDC and CRF design by ensuring alignment between protocol objectives, endpoints, and data collection strategy
  • Translate clinical and scientific requirements into structured, high-quality data capture and validation approaches
  • Assist in data review, analysis, and interpretation to evaluate safety and performance outcomes
  • Contribute to development of abstracts, presentations, and publications
  • Support interactions with ethics committees (e.g., IRB, RECs) and regulatory bodies as needed
  • Ensure scientific and clinical activities are conducted in compliance with Good Clinical Practice (GCP), applicable regulations, and internal SOPs
  • Identify data trends, inconsistencies, or risks and proactively communicate findings to the broader team

Required Qualifications:

  • Familiarity with statistical methods or programming (e.g., Python, R)
  • 5+ years of experience in clinical research or scientific roles within medical devices or related fields
  • Strong analytical and problem-solving skills with the ability to interpret complex data
  • Familiarity with clinical study design, endpoints, and data analysis concepts
  • Working knowledge of Good Clinical Practice (GCP) and basic regulatory requirements (e.g., ISO 14155)
  • Ability to work cross-functionally with clinicians, engineers, and operational teams
  • Strong written and verbal communication skills, particularly in scientific and technical contexts
  • High attention to detail and ability to manage multiple priorities

Preferred Qualifications:

  • Experience with neurological, neurosurgical, or implantable medical device studies
  • Experience supporting protocol development, data analysis, or clinical reporting
  • Publications or scientific presentations in biomedical engineering or neuroscience
  • PhDย  in neuroscience, biomedical engineering, or a related field

Additional Requirements and Competencies:ย 

  • Willingness to travel (up to ~20-30%) to support site visits, investigator meetings, and study activities
  • Strong organizational and documentation skills
  • Ability to work independently while collaborating closely with cross-functional teams
  • Adaptability and comfort in a fast-paced, high-growth environment
  • Commitment to scientific rigor, patient safety, and high-quality evidence generation