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Neuroscience Research Engineer Jobs in Rochester, NY

Neuroscience Research Engineer information

See Rochester, NY salary details

$36.5K

$104.6K

$140.6K

How much do neuroscience research engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for neuroscience research engineer in Rochester, NY is $104,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $102,600.00 per year, depending on experience, location, and employer.

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 Rochester, NY?

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

What cities near Rochester, NY are hiring for Neuroscience Research Engineer jobs?

Cities near Rochester, NY with the most Neuroscience Research Engineer job openings:

Tenure-Track Research Faculty Position (open rank)

University of Rochester

Rochester, NY • On-site

Full-time

Re-posted 6 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 188 frontline employees who took The Breakroom Quiz

127th of 627 rated colleges and universities


Job description

Description
The Department of Ophthalmology/Flaum Eye Institute (FEI) at the University of Rochester invites applications for an open-rank, tenure-track faculty position. We welcome candidates with a broad interest in studying ocular structure and function in health and disease.
Primary appointment of the new faculty member will reside in the Department of Ophthalmology and Flaum Eye Institute, but there are ready opportunities for secondary appointments in the Center for Visual Science (a university-wide community of >55 faculty engaged in vision research), and other University of Rochester departments (e.g., the Institute of Optics, Neuroscience, Biomedical Engineering, Microbiology and Immunology, Biomedical Genetics, etc.).
The faculty hire will have access to considerable shared resources, both within the department of Ophthalmology (shared confocal microscope, histology laboratory, ophthalmic imaging core, biostatistics) and within the Medical Center. The successful candidate will work with an active program of undergraduate and graduate students through multiple, highly-ranked, degree-granting academic programs across the University of Rochester.
Qualifications
All candidates should hold a PhD, MD, MD PhD or equivalent. An important expectation for this job position is demonstrated research productivity and the ability to attract extramural funding. Depending on qualifications, an appointment will be made at the assistant, associate or full professor level. Preferred candidates will have expertise in advanced physiological optics (e.g., adaptive optics imaging, optical coherence tomography, scanning laser ophthalmoscopy, two-photon imaging, fluorescence lifetime or other ocular imaging modalities) and/or expertise in advanced cellular and molecular biology, such as single-cell and spatial transcriptomics, proteomics, lipidomics and connectomics, as well as stem cell and organoid approaches for studying retinal physiology. Research areas may involve humans, animal models and/or in vitro systems, as well as computational approaches including machine learning and artificial intelligence.
The position will be open until filled, but the application review process will start on July 15th, 2026.
Application Instructions
Applications should be submitted on Interfolio (apply.interfolio.com/162715).
For questions, email Dr. Ruchira Singh (Ruchira_Singh@urmc.rochester.edu) or Dr. Krystel Huxlin (khuxlin@ur.rochester.edu).
The referenced pay range represents the University's good faith and reasonable estimate of the base range of compensation for this faculty position. Individual salaries will be determined within the job's salary range and established based on (but not limited to) market data, experience and expertise of the individual, and with consideration to related position salaries. Alignment of clinical incentive-based compensation may also be applicable and will be discussed during the hiring process.

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