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Biomedical Neuroscience Jobs (NOW HIRING)

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How much do biomedical neuroscience jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for biomedical neuroscience in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 per hour, depending on experience, location, and employer.

What is a biomedical neuroscience?

A Biomedical Neuroscience job involves studying the brain and nervous system to understand neurological disorders and develop treatments. Professionals in this field work in research labs, healthcare settings, or the biotech industry, using techniques from biology, medicine, and engineering. Roles may include conducting experiments, analyzing brain function, or developing medical technologies. Careers in this field can range from academic research to pharmaceutical development and clinical applications.

What are the key skills and qualifications needed to thrive in biomedical neuroscience, and why are they important?

To thrive in Biomedical Neuroscience, candidates typically need a strong background in biology, neuroscience, and biomedical research, often supported by an advanced degree (Master’s or PhD) in a relevant field. Familiarity with laboratory techniques, neuroimaging tools (such as MRI or EEG), statistical analysis software, and research compliance protocols is essential. Strong critical thinking, problem-solving abilities, and collaborative skills set exceptional professionals apart. These competencies are crucial for driving innovative research, ensuring accurate data interpretation, and contributing effectively to interdisciplinary projects.

What does a typical workday look like for someone in biomedical neuroscience?

A typical day for someone working in Biomedical Neuroscience involves a mix of hands-on experimental research, data analysis, and literature review. Team members often collaborate closely with other scientists, clinicians, and technical staff to design studies, conduct experiments, and interpret results. Responsibilities may include preparing reports, presenting findings, and participating in meetings to discuss ongoing or future projects. This dynamic environment values both independent work and teamwork, allowing individuals to contribute their expertise while learning from peers. The variety in daily tasks ensures ongoing learning and engagement with cutting-edge developments in the field.

What can I do with a biomedical neuroscience degree?

A biomedical neuroscience degree prepares individuals for careers in research, healthcare, and industry, including roles such as neuroscientist, clinical researcher, medical science liaison, or neurotechnology specialist. Graduates often work in laboratories, hospitals, pharmaceutical companies, or biotech firms, utilizing skills in data analysis, laboratory techniques, and understanding of neural systems.

What jobs can I get with a masters in biomedical neuroscience?

A master's in biomedical neuroscience qualifies individuals for roles such as research scientist, clinical research coordinator, neuroimaging technician, or laboratory manager. These positions often require knowledge of laboratory techniques, data analysis, and familiarity with neurobiological tools and protocols.
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What cities are hiring for Biomedical Neuroscience jobs?

Cities with the most Biomedical Neuroscience job openings:

What are the most commonly searched types of Biomedical Neuroscience jobs?

The most popular types of Biomedical Neuroscience jobs are:

What states have the most Biomedical Neuroscience jobs?

States with the most job openings for Biomedical Neuroscience jobs include:

Infographic showing various Biomedical Neuroscience job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 33% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $59,333 per year, or $28.5 per hour.

Biomedical Research Engineer - Rockefeller Neuroscience Institute

West Virginia University

Morgantown, WV • On-site

Full-time

Medical, Retirement, PTO

Posted 5 days ago


West Virginia University rating

6.9

Company rating: 6.9 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

465th of 627 rated colleges and universities


Job description

Description
The Rockefeller Neuroscience Institute at West Virginia University is currently accepting applications for an onsite Biomedical Research Engineer.
Rockefeller Neuroscience Institute
The WVU Rockefeller Neuroscience Institute (RNI) is a comprehensive multidisciplinary patient care, education, and research institute providing neurological and mental healthcare through more than 300,000 visits annually. The 300+ physicians and scientists of the RNI improve lives by pioneering advances in neuroscience, brain health, and therapeutics. The RNI team uses the latest technologies with academic, government, and industry partners to make tangible progress to combat public health challenges ranging from addiction to Alzheimer's disease.
The RNI's flagship facilities are located on the WVU Health Sciences campus in Morgantown, with more than 2,200 dedicated team members across seven departments, patient care units, and research laboratories. For more information, visit WVUMedicine.org/RNI.
About the Opportunity
We are seeking a Biomedical Research Engineer to support biomedical, neuroscience, clinical research, and human-performance initiatives. This position will contribute to research software, data-collection systems, analytical workflows, and technical reporting.
The successful candidate will work with researchers, engineers, clinicians, and operational teams to help ensure that research technologies and data processes are reliable, well documented, secure, and responsive to project needs. This role offers opportunities to gain experience across scientific computing, research technology, data engineering, and laboratory operations.
We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:
  • 37.5-hour work week
  • 13 paid holidays (staff holiday calendar)
  • 24 annual leave (vacation) days per year (employee leave)
  • 18 sick days per year (for when you're ill, for when you need time to care for sick family, for your own, or your family's, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)
  • WVU offers a range of health insurance and other benefits
  • 401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQ's.
  • Wellness programs

What You'll Do
  • Support the development, testing, and maintenance of software used for cognitive, behavioral, physiological, and human-performance research.
  • Assist with research data collection involving sensors, physiological systems, motion-capture equipment, wearable devices, and related technologies.
  • Set up, calibrate, test, and troubleshoot research software, hardware, and data-collection systems.
  • Develop and maintain scripts and automated workflows using MATLAB, Python, or similar tools.
  • Support data pipelines for data ingestion, processing, validation, analysis, and reporting.
  • Work with structured, semi-structured, and time-series data from research systems, devices, databases, files, and cloud-based platforms.
  • Perform data-quality checks and help investigate missing, inconsistent, or anomalous data.
  • Prepare analytical datasets, figures, dashboards, recurring reports, and other research deliverables.
  • Maintain technical documentation, standard operating procedures, data dictionaries, and training materials.
  • Provide technical guidance, demonstrations, and training to research staff and system users.
  • Use version control and participate in software testing, code review, and quality-assurance activities.
  • Follow established practices for handling sensitive biomedical, clinical, and research data, including applicable privacy, security, access-control, and data-governance requirements.
  • Collaborate with technical and non-technical stakeholders to understand requirements, troubleshoot issues, and support project deliverables.

Qualifications
  • Bachelor's degree in Biomedical Engineering, Computer Science, Electrical Engineering, Data Science, Bioinformatics, or a related technical field.
  • A minimum of one (1) year of combined experience in the following:
    • Programming, data analysis, scientific computing, research technology, laboratory engineering, or a related field.
    • Experience supporting biomedical, clinical, neuroscience, human-performance, or related research.
  • Any equivalent combination of related education and/or experience will be considered.
  • All qualifications must be met by the time of employment.

Knowledge, Skills and Abilities
  • Working knowledge of MATLAB, Python, or another scientific-computing environment.
  • Ability to organize, analyze, and troubleshoot complex technical information.
  • Understanding of software-development, data-quality, testing, and technical-documentation practices.
  • Ability to work with research data obtained from devices, files, databases, application programming interfaces, and other technical systems.
  • Strong written and verbal communication skills.
  • Ability to explain technical information to technical and non-technical audiences.
  • Ability to collaborate effectively in a multidisciplinary environment.
  • Ability to manage multiple assignments and adapt to changing project requirements.
  • Familiarity with cognitive or behavioral assessment software, including MATLAB Psychtoolbox or similar tools.
  • Familiarity with physiological signals, biomechanics, motion capture, eye tracking, wearable technologies, or other sensor-generated data.
  • Experience with SQL, relational databases, cloud platforms, data pipelines, dashboards, or automated reporting.
  • Familiarity with Git or another version-control system.
  • Familiarity with research-data privacy, security, quality, or governance practices.

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