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Contract Brain Computer Interface Jobs in Pennsylvania

Mechanical Design Engineer

Dallastown, PA · On-site

$73K - $100K/yr

Provides technical input to the CAD design team on various tasks. * Reviews and approves drawings ... Interfaces with customers and contracts to resolve customer-related issues. * Contributes to ...

Mechanical Design Engineer

Dallastown, PA

$73K - $100K/yr

Provides technical input to the CAD design team on various tasks. * Reviews and approves drawings ... Interfaces with customers and contracts to resolve customer-related issues. * Contributes to ...

Software Engineer, Sr. (Apps)

Pittsburgh, PA

$111K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... shared UI components * Other duties as assigned Experience * B.S or M.S. Degree in Computer ... Citizenship due to contract requirements. Benefits : AV offers an excellent benefits package ...

Software Engineer, Sr. (Apps)

Pittsburgh, PA · On-site

$111K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... shared UI components * Other duties as assigned Experience * B.S or M.S. Degree in Computer ... Citizenship due to contract requirements. Benefits : AV offers an excellent benefits package ...

Showing results 21-40

Contract Brain Computer Interface information

What is the difference between Contract Brain Computer Interface vs Contract Neural Engineer?

AspectContract Brain Computer InterfaceContract Neural Engineer
Required CredentialsTypically requires neuroscience, biomedical engineering, or related degrees; experience with BCI technologyRequires neuroscience, biomedical engineering, or related degrees; expertise in neural systems and signal processing
Work EnvironmentResearch labs, tech companies, healthcare settingsResearch institutions, biotech firms, healthcare facilities
Employer & Industry UsageTech companies developing BCI devices, research institutionsBiomedical companies, research labs focusing on neural systems

Both roles involve working with neural systems and require similar educational backgrounds. Contract Brain Computer Interface specialists focus on developing and implementing BCI devices, while Contract Neural Engineers work on understanding neural signals and designing neural interfaces. The main difference lies in their specific focus areas within neural technology development.

What are common challenges faced by professionals working on a contract basis in brain-computer interface projects?

One common challenge for contract professionals in BCI is quickly adapting to diverse project scopes and rapidly changing technologies. Since many teams are interdisciplinary, you may need to collaborate closely with neuroscientists, software engineers, and hardware specialists, which requires strong communication skills and flexibility. Additionally, contract roles often require independent time management and the ability to deliver results within tight deadlines, as projects can be highly research-driven and iterative. Building a network within the BCI community and staying updated with the latest advancements can help you overcome these challenges and succeed in a contract-based environment.

What is a contract brain computer interface specialist?

Contract Brain Computer Interface (BCI) specialists are professionals hired on a contract basis to work on projects involving the development, implementation, or integration of technologies that connect the human brain with computers or external devices. These specialists may be involved in designing BCI systems, developing software and hardware, conducting research, or supporting clinical applications. Their work is often project-based and can span industries such as healthcare, neuroscience, gaming, and assistive technology. Contract BCI specialists typically have expertise in neuroscience, engineering, computer science, or related fields, and they bring their skills to organizations needing temporary or specialized BCI expertise.

What are the key skills and qualifications needed to thrive as a contract brain computer interface engineer?

To thrive as a Contract BCI Engineer, you typically need expertise in neuroscience, signal processing, programming (e.g., Python, MATLAB), and a relevant degree in biomedical engineering, neuroscience, or computer science. Familiarity with BCI hardware/software platforms, data acquisition systems, and certifications in neurotechnology tools are commonly required. Strong problem-solving, collaboration, and communication skills help you effectively work with interdisciplinary teams and adapt to project needs. These skills are crucial for developing innovative, reliable BCI solutions that translate neural signals into actionable data for real-world applications.

What are the most commonly searched types of Brain Computer Interface jobs in Pennsylvania?

The most popular types of Brain Computer Interface jobs in Pennsylvania are:

What are popular job titles related to Contract Brain Computer Interface jobs in Pennsylvania?

For Contract Brain Computer Interface jobs in Pennsylvania, the most frequently searched job titles are:

What cities in Pennsylvania are hiring for Contract Brain Computer Interface jobs?

Cities in Pennsylvania with the most Contract Brain Computer Interface job openings:

Infographic showing various Contract Brain Computer Interface job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Post Doctoral Associate-Kozai Lab

University of Pittsburgh

Pittsburgh, PA

$47K - $64K/yr

Full-time

Re-posted 3 days ago


Job description

The Department of Bioengineering is seeking a Postdoctoral Associate in the Kozai lab. Incumbent will be responsible for conducting research on implantable neural interfaces, focusing on photostimulation, intracortical microstimulation (ICMS), and neural imaging. This role will involve designing, optimizing, and executing experiments that explore novel photostimulation technologies, particularly in the context of neural prosthetics and artificial sensory perception. The candidate will develop and characterize Wireless Axon stimulators, evaluating their spatial selectivity, stability, and long-term functionality within neural tissue.

In addition, the postdoctoral associate will employ in vivo two-photon microscopy and advanced imaging techniques to analyze the activation of different neuronal subtypes in response to stimulation. They will use molecular tools such as GCaMP6 and tdTomato to visualize and quantify neuronal and glial activity. Data collection, signal processing, and statistical analysis will be critical components of the role, requiring proficiency in MATLAB, Python, and ImageJ/Fiji for image and signal analysis.

The candidate will be expected to contribute to manuscript preparation, grant writing, and conference presentations to disseminate research findings. Collaboration with interdisciplinary teams, including neuroscientists, engineers, and clinicians, will be essential for advancing neuroengineering solutions. Additionally, the associate will mentor graduate and undergraduate students, providing technical expertise and guidance in experimental design and data analysis.

Job Requirements (majoring in BioE or a STEM field, etc.):

  • Ph.D. in Bioengineering, Neuroscience, Neurobiology, Biomedical Engineering, Molecular/Cellular Biology, Biochemistry, Chemistry, Electrical Engineering, Computer Science, Mechanical Engineering, Chemical Engineering, Physics, Optics, Material Science, or Mathematics.
  • Expertise in in vivo multiphoton microscopy, neurostimulation, or neuromodulation, particularly in the visual cortex.
  • Experience with electrochemistry, confocal microscopy, immunohistochemistry, and scanning electron microscopy (SEM) preferred.
  • Proficiency in signal processing and computational analysis using MATLAB, Python, or other relevant software.
  • Knowledge of neurobiology related to brain injuries and neurodegeneration (e.g., Multiple Sclerosis, Alzheimer's Disease, stroke) is advantageous.
  • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in an interdisciplinary research environment.
  • Excellent scientific writing and communication skills, with experience in manuscript preparation and conference presentations.
  • Experience with designing and conducting in vivo electrophysiology or optogenetics experiments is a plus.
  • Ability to mentor graduate and undergraduate students in research techniques and data analysis.