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Biomedical Neuroscience Jobs (NOW HIRING)

Craig Technologies

Biomedical Engineer

Houston, TX · On-site

$104K - $119K/yr

Biomedical Engineer Location: NASA Johnson Space Center, Houston, TX Clearance: National Agency ... The Neuroscience Laboratory is a key player in advancing knowledge about the effects of spaceflight ...

Craig Technologies

Biomedical Engineer

Houston, TX

$104K - $119K/yr

Biomedical Engineer Location: NASA Johnson Space Center, Houston, TX Clearance: National Agency ... The Neuroscience Laboratory is a key player in advancing knowledge about the effects of spaceflight ...

University of Florida

LECTURER

Gainesville, FL · On-site

D. or equivalent Biomedical Neuroscience Online Programs The University of Florida, the flagship institution of the State University System of Florida, is consistently recognized for academic ...

Subsense

Research Scientist in Neuroscience

Palo Alto, CA · On-site

$115K - $140K/yr

Strong background in neurobiology, electrophysiology, or biomedical sciences * Proven hands-on experience with both in vitro and in vivo neuroscience models. * Skilled in histology, microscopy (e.g ...

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How much do biomedical neuroscience jobs pay per hour?

As of Jun 9, 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 does a typical workday look like for someone in a Biomedical Neuroscience position?

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 are the key skills and qualifications needed to thrive in the Biomedical Neuroscience position, 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 is a Biomedical Neuroscience job?

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.

More about Biomedical Neuroscience jobs
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:
What job categories do people searching Biomedical Neuroscience jobs look for? The top searched job categories for Biomedical Neuroscience jobs are:
Biomedical Neuroscience jobs near you
Infographic showing various Biomedical Neuroscience job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $59,333 per year, or $28.5 per hour.
(On-site) Biomedical Data Engineer - Rockefeller Neuroscience Institute

(On-site) Biomedical Data Engineer - Rockefeller Neuroscience Institute

West Virginia University

Morgantown, WV • On-site

$117K - $141K/yr

Full-time

Medical, Retirement, PTO

Posted 12 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

386th of 535 rated colleges and universities

Job description

Description
The Rockefeller Neuroscience Institute at West Virginia University is currently accepting applications for an (Onsite) Biomedical Data 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 Data Engineer with strong experience in MATLAB, AWS cloud services, data engineering, and dashboard development. This role will support biomedical, clinical, and research data initiatives by building reliable data pipelines that fetch, organize, store, transform, and present data in meaningful ways for researchers, clinicians, and leadership teams.
The ideal candidate understands how to work with complex biomedical datasets, sensor or device-generated data, clinical research data, and structured or semi-structured data sources. This person should be comfortable turning raw data into clean, usable datasets and supporting dashboards that help teams make informed decisions.
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 benefit
• 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 program
What You'll Do
  • Data Fetching and Integration
    • Build and maintain data pipelines to retrieve data from multiple sources, including biomedical devices, research systems, APIs, databases, flat files, and cloud storage.
      Work with structured, semi-structured, and time-series biomedical data.
      Support ingestion of MATLAB-generated data, CSV files, JSON, SQL data, and other scientific data formats.
      Collaborate with software, clinical, and research teams to understand data source requirements.
  • Data Organization and Storage
    • Design scalable data structures for storing biomedical and research data.
      Organize raw, processed, and analytics-ready datasets in AWS environments.
      Support cloud-based storage using services such as Amazon S3, RDS, Redshift, Glue, Athena, or similar tools.
      Ensure data is stored in a secure, traceable, and well-documented manner.
  • Data Transformation and Quality
    • Develop ETL/ELT workflows to clean, normalize, validate, and transform data.
      Convert raw biomedical data into meaningful analytics-ready tables and datasets.
      Perform data quality checks, anomaly detection, and validation routines.
      Maintain documentation for data pipelines, data dictionaries, and transformation logic.
  • MATLAB and Scientific Computing
    • Work with MATLAB scripts, toolboxes, and biomedical signal or research data workflows.
      Convert or operationalize MATLAB-based logic into repeatable data processing pipelines.
      Collaborate with researchers and scientists who use MATLAB for analysis.
      Help migrate or integrate MATLAB outputs into cloud-based data platforms.
  • Dashboards and Reporting
    • Build meaningful dashboards and visualizations for biomedical, clinical, and operational insights.
      Translate complex datasets into easy-to-understand metrics, trends, and visual summaries.
      Support dashboard tools such as Plotly Dash, QuickSight, Tableau, Power BI, or similar platforms.
      Work with stakeholders to define KPIs, data views, filters, and reporting needs.
  • Security and Compliance
    • Follow best practices for handling sensitive biomedical, clinical, and research data.
      Support HIPAA-aware data workflows where applicable.
      Implement secure access controls, logging, and data governance practices.
      Work with teams to ensure proper data privacy, security, and compliance standards.

Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Biomedical Engineering, Bioinformatics, Electrical Engineering, Statistics, or a related field.
  • A minimum of two (2) years of experience in the following:
    • Hands-on experience with MATLAB for data processing, analysis, or scientific computing.
    • MATLAB, AWS, SQL, Python, ETL/ELT, data pipelines, data modeling, dashboarding
  • 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
  • Experience with AWS cloud services, especially data-related services such as S3, RDS, Redshift, Glue, Lambda, Athena, or CloudWatch.
  • Strong SQL skills and experience working with relational databases.
  • Experience building data pipelines for ingestion, transformation, and reporting.
  • Familiarity with Python, especially for data engineering or analytics workflows.
  • Ability to work with large, complex, and messy datasets.
  • Strong understanding of data modeling, data quality, and documentation.
  • Ability to communicate clearly with technical and non-technical stakeholders.

Preferred Qualifications
  • Experience in biomedical, healthcare, neuroscience, clinical research, digital health, or life sciences environments.
  • Experience with time-series data, wearable device data, sensor data, imaging metadata, or physiological signal data.
  • Familiarity with EHR data, or clinical data standards.
  • Experience with data visualization tools such as Plotly Dash, QuickSight, Tableau, or Power BI.
  • Experience with AWS Lambda, Step Functions, Glue jobs, Redshift Spectrum, or serverless data pipelines.
  • Knowledge of HIPAA, data privacy, and research data governance.
  • Experience converting research prototypes into production-ready data workflows.
  • Familiarity with Git, CI/CD, Jira, Confluence, or Agile development practices.
  • Amazon S3, Redshift, RDS, Glue, Athena, Lambda, QuickSight, Plotly Dash, APIs, JSON, CSV, Git, FHIR, biomedical signal processing

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