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Neuroscience Research Engineer Jobs in Texas (NOW HIRING)

Abbott

Research Scientist II

Plano, TX

We are seeking a Research Scientist II with strong molecular biology, cellular neuroscience, tissue engineering, or related life sciences expertise and an AI-first mindset to support translational ...

Abbott

Research Scientist II

Plano, TX · On-site

We are seeking a Research Scientist II with strong molecular biology, cellular neuroscience, tissue engineering, or related life sciences expertise and an AI-first mindset to support translational ...

Abbott

Research Scientist II

Plano, TX

We are seeking a Research Scientist II with strong molecular biology, cellular neuroscience, tissue engineering, or related life sciences expertise and an AI-first mindset to support translational ...

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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 Texas?

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

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

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

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

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

Neuroscience Research Engineer jobs near you
Infographic showing various Neuroscience Research Engineer job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Postdoctoral Associate - Cellular Neuroscience

Baylor College of Medicine

Houston, TX • On-site

$62K - $63K/yr

Full-time

Re-posted 17 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

191st of 631 rated colleges and universities

Job description

Postdoctoral Associate - Cellular Neuroscience
Division: Neuroscience
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232 - $63,480
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
A Postdoctoral Associate position supported by a recently awarded NIH R01 grant is available in the Gao Lab at BCM Department of Neuroscience. The Gao Lab studies the cellular mechanisms of neurodevelopmental disorders using cutting-edge proteomics, protein/genome engineering, and electrophysiological approaches. The postdoc will engage in frontier, discovery-driven research in protein phosphorylation and dynamic regulation, with a focus on an important subcellular microdomain of the neuron- the axon initial segment (AIS). The postdoc will have excellent collaboration opportunities at BCM / Texas Medical Center.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Plans, directs, and conducts advanced cellular neuroscience research with a focus on the mechanisms of AIS protein phosphorylation and dynamic regulation.
  • Designs, analyzes, and interprets experiments using molecular biology, genome engineering, proteomics, microscopic imaging, and electrophysiology.
  • Establishes new research protocols and procedures.
  • Provides intellectual contribution to other ongoing projects in the lab, and assists PI in shaping the long-term research strategies and directions.
  • Demonstrates commitment to fostering a collaborative lab environment and promoting positive group dynamics.
  • Contributes to everyday tasks in the lab and training of students and other trainees.
  • Applies for grant opportunities when appropriate.
  • Attends departmental seminar series and other departmental events.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • Ph.D. degree in Neuroscience, Cell and molecular biology, or related fields.
  • Standard molecular and cellular neurobiology techniques such as vector design and cloning, cell/neuron culture, immunocytochemistry, Western blot, laboratory animal procedures, and scientific writing.
  • Demonstrates ability and strong motivation to lead research projects with minimal supervision.
  • Experience in any of the following areas is especially valued: synaptic plasticity, programming, structural biology, calcium imaging, and electrophysiology is desired.
  • Be a self-starter, with excellent interpersonal skills and time management ability.
  • Records first-author publications in the field of Cellular Neuroscience is desired. Exceptions may be given for outstanding candidates with a clear justification.

Requisition ID: 25653

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