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Neuroscience Research Engineer Jobs in Kansas (NOW HIRING)

Neuroscience Research Engineer information

What does a neuroscience research engineer do?

A Neuroscience Research Engineer applies engineering principles and technical skills to support neuroscience research. They design, develop, and maintain hardware and software tools used in experiments that investigate the brain and nervous system. Their work may involve data acquisition, signal processing, computational modeling, and creating custom devices or algorithms to analyze neural data. These engineers often collaborate closely with neuroscientists to advance research in areas such as brain-computer interfaces, neural imaging, and electrophysiology.

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

To thrive as a Neuroscience Research Engineer, you need a strong background in neuroscience, engineering, and data analysis, usually supported by an advanced degree in a relevant field. Familiarity with neuroimaging tools (such as fMRI or EEG), programming languages (like Python or MATLAB), and data processing software is essential, and certifications in research ethics or neurotechnology are advantageous. Outstanding problem-solving abilities, attention to detail, and effective collaboration and communication skills are crucial soft skills. These skills and qualifications enable accurate experimental design, reliable data interpretation, and productive teamwork in advancing neuroscience research.

What are some common challenges faced by neuroscience research engineers when integrating new technologies into ongoing research projects?

Neuroscience Research Engineers often encounter challenges when introducing cutting-edge tools or methodologies into established research workflows. Compatibility issues with existing equipment, data integration complexities, and the need for thorough validation to ensure data accuracy are frequent hurdles. Additionally, coordinating with interdisciplinary teams—including neuroscientists, software developers, and clinical staff—requires clear communication to align technical innovations with research objectives. Overcoming these challenges typically involves proactive planning, continuous learning, and strong collaborative skills.

What is the difference between Neuroscience Research Engineer vs Neuroscientist?

AspectNeuroscience Research EngineerNeuroscientist
Required CredentialsBachelor's or Master's in Engineering, Neuroscience, or related fields; often some research experiencePh.D. in Neuroscience or related disciplines; extensive research background
Work EnvironmentResearch labs, tech companies, healthcare settings focusing on developing neurotechnologiesAcademic labs, research institutions, hospitals studying brain functions
Employer & Industry UsageTech firms, biotech companies, medical device manufacturersUniversities, research institutes, healthcare organizations

Neuroscience Research Engineers focus on applying engineering principles to develop neurotechnologies and solutions, often working in industry settings. Neuroscientists primarily conduct fundamental research to understand brain functions, typically in academic or clinical environments. Both roles require strong research skills but differ in their focus and application.

Does neuroscience research pay well?

Neuroscience research engineers typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start lower, but experienced professionals with advanced degrees and specialized skills can earn higher wages, especially in academic or industry settings with access to research funding and grants.

How do I become a neuroscience research engineer?

To become a neuroscience research engineer, typically a bachelor's degree in neuroscience, biomedical engineering, or a related field is required, often followed by a master's or Ph.D. for advanced roles. Skills in programming, data analysis, and laboratory techniques are essential, along with experience using tools like MATLAB or Python and familiarity with neuroimaging methods. Gaining research experience through internships or assistant positions can also improve job prospects.

What are popular job titles related to Neuroscience Research Engineer jobs in Kansas?

For Neuroscience Research Engineer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Neuroscience Research Engineer jobs in Kansas look for?

The top searched job categories for Neuroscience Research Engineer jobs in Kansas are:

What cities in Kansas are hiring for Neuroscience Research Engineer jobs?

Cities in Kansas with the most Neuroscience Research Engineer job openings:

Cancer Biology/PISR Post Doctoral Fellow

KUMC University of Kansas Medical Center

Kansas City, KS

$47K - $64K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Department:SOM KC Cancer Biology

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BossmannPosition Title:Cancer Biology/PISR Post Doctoral FellowJob Family Group: Professional StaffJob Description Summary:The postdoctoral fellow will support the Preclinical Imaging Shared Resource (PISR) within the University of Kansas Cancer Center and the Department of Cancer Biology. This position will develop and apply advanced preclinical imaging methodologies to support interdisciplinary cancer research programs, including magnetic resonance imaging (MRI), optical imaging, micro-computed tomography (micro-CT), photoacoustic imaging, and image analysis. The position offers opportunities to develop independent research projects, contribute to collaborative grant applications, and prepare for an independent academic or industry career in biomedical imaging. The position will work closely with investigators across the University of Kansas Cancer Center, the Institute for Advancing Medical Innovation, and external collaborators to establish innovative imaging biomarkers and quantitative imaging methodologies.Job Description:

Job Duties Outlined:

Research Overview: Work with PI/faculty mentor to develop, optimize, and apply advanced preclinical imaging techniques to investigate cancer biology, therapeutic response, immunotherapy, and drug delivery in small-animal models.

  • Design and optimize MRI protocols for longitudinal preclinical studies.
  • Perform quantitative image analysis and develop reproducible imaging workflows.
  • Participate in collaborative NIH-, DoD-, and NSF-funded research projects.
  • Contribute to the development of new imaging methodologies integrating MRI, optical imaging, photoacoustic imaging, and micro-CT.
  • Assist in the development of AI-based image analysis pipelines.
  • Design and conduct imaging studies in murine disease models in accordance with approved IACUC protocols, including animal preparation, anesthesia, physiological monitoring, longitudinal imaging, and quantitative image analysis.
  • Assist in the implementation and validation of next-generation ultra-high-field imaging technologies, including the forthcoming 18.8 Tesla MRI platform, and contribute to the development of multimodal imaging workflows integrating MRI, NMR spectroscopy, optical imaging, micro-CT, and photoacoustic imaging.
  • Work effectively as part of the research team and mentor/train graduate students, postdoctoral fellows, and investigators in imaging methodologies.
  • Assist in maintaining state-of-the-art imaging instrumentation and implementing new imaging technologies.

Postdoc Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty mentor, record and interpret the results of their experiments in an (electronic) laboratory notebook, prepare publication-quality manuscripts (including figures and tables) and publish in peer-reviewed literature.

  • Read literature articles, develop new ideas, and assimilate the information into his/her project design/interpretation.
  • Dissemination of studies: Interact on a regular basis with their faculty mentor and members of the laboratory to discuss experimental design and interpretation of results.
  • Present research aims and findings at department seminars and at scientific meetings. Write and publish their results as first author in abstracts, manuscripts, and posters.
  • Submit fellowship applications, as eligible, to bolster research funding and CV building for projects.
  • Interact with KU Cancer Center donors and local cancer affiliates.

Compliance: Attend and maintain compliance including all orientation and training sessions designated by the University and the Cancer Biology Department, understand and follow IACUC and biosafety protocols, and attend departmental seminars and regular lab meetings.

This job description is not designed to cover orcontaina comprehensive listing of activities, duties or responsibilities that arerequired ofthe employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of allpossible jobresponsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.

Required Qualifications:

Education: Ph.D. or equivalent doctoral degree in Biomedical Engineering, Medical Physics, Imaging Science, Physics, Chemistry, Chemical Engineering, Bioengineering, Neuroscience, Cancer Biology, or a closely related discipline.

This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced knowledge, analytical skills and professional competencies necessary to perform the duties of the position.The level of degree is commonly recognized as the standard qualification for similar roles in the public and private sector, ensuring that the university remains competitive with industry aligned practices, enhances collaboration with external partners, and supports the delivery of services and programs that meet professional and market-driven expectations.

Work Experience: Demonstrated research experience in at least one advanced biomedical imaging modality.

Preferred Qualifications:

Work Experience:

  • Preclinical MRI

  • MRI pulse sequence development and optimization

  • Quantitative MRI analysis

  • Image reconstruction and image processing using Bruker Paravision

  • Micro-CT, optical imaging, photoacoustic imaging, PET, or SPECT

  • Artificial intelligence or machine learning for biomedical image analysis

  • Python, MATLAB, C++, or similar scientific programming languages

  • Multi-modal image registration and quantitative biomarker development

  • Cancer biology, immunology, or neuroscience applications of imaging

Skills:

  • Communication

  • Collaborative

  • Teamwork

  • Organization

  • Critical thinking

  • Attention to detail

  • Interpersonal

Required Documents:
  • Resume/CV

  • Cover Letter

Comprehensive Benefits Package:

Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html

Employee Type: RegularTime Type: Full timeRate Type: Salary

Compensation Statement:

The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.

Pay Range:$63,480.00 - $90,000.00

Minimum

$63,480.00

Midpoint

$76,739.00

Maximum

$90,000.00