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Internship Computer Science Neuroscience Jobs in Hopkinton, MA

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Internship Computer Science Neuroscience information

See Hopkinton, MA salary details

$10

$19

$28

How much do internship computer science neuroscience jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship computer science neuroscience in Hopkinton, MA is $19.16, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.11 per hour, depending on experience, location, and employer.

What is the difference between Internship Computer Science Neuroscience vs Research Assistant Neuroscience?

AspectInternship Computer Science NeuroscienceResearch Assistant Neuroscience
Required CredentialsUndergraduate or early graduate students, basic programming skillsUndergraduate or graduate students, background in neuroscience or related fields
Work EnvironmentTech labs, research institutions, collaborative projectsLaboratories, academic settings, hands-on research
Employer & IndustryTech companies, research institutions, universitiesUniversities, research centers, healthcare institutions
Search & Comparison IntentLearning opportunities, tech-focused neuroscience projectsResearch experience, neuroscience-specific tasks

In summary, Internship Computer Science Neuroscience typically involves students gaining experience in tech-driven neuroscience projects, focusing on programming and data analysis. Research Assistant Neuroscience roles are more research-oriented, emphasizing hands-on laboratory work in neuroscience. Both roles serve as valuable entry points but differ mainly in their focus and work environment.

What cities near Hopkinton, MA are hiring for Internship Computer Science Neuroscience jobs? Cities near Hopkinton, MA with the most Internship Computer Science Neuroscience job openings:
Internship Computer Science Neuroscience jobs near you

Mechanical/Fabrication Design Engineer

Odyssey Systems LLC

Lexington, MA • On-site

$85K - $115K/yr

Full-time

Re-posted 22 days ago

Job description

The Human Health & Performance Systems Group focuses on objective, technology-based human-centered solutions to measure, model and modify cognitive and physiological function for enhancement, sustainment, or recovery. This goal is accomplished through three broad technical areas: health and resilience monitoring, trauma care, and performance enhancement. Research in all areas includes capability gap analysis, advanced sensing, machine learning and artificial intelligence algorithms, biologically-based modeling, prototyping, system integration, and field testing of systems to monitor the human state, predict outcomes, and intervene to improve health and performance.

Typical goals include increasing physical, cognitive and psychological performance and resilience of end-users in their operational environments; measuring, modeling, and modifying the brain to mitigate neurotrauma and neurodegeneration of end-users after exposure; and developing human-machine interfaces for enhanced end-user performance and communication within groups. This highly interdisciplinary group draws on skills from biology, physiology, cognitive science, neuroscience, psychology, biosignal processing, engineering, machine learning and artificial intelligence, computer science, physics, and medical research areas. Primary government sponsors and partners are in the Departments of Defense, Veterans Affairs, Homeland Security, NASA, the National Institutes of Health, and the National Science Foundation.

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