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Entry Level Computer Science Neuroscience Jobs (NOW HIRING)

Device Refresh Tech

Orange, CA · On-site

$16.90 - $17/hr

Open to entry level computer science graduates * 0-1-year experience with IT setup, desktop setups * Adept with computer installations, operating systems, Windows 10, hardware support and maintenance

Open to entry level computer science graduates * 0-1-year experience with IT setup, desktop setups * Adept with computer installations, operating systems, Windows 10, hardware support and maintenance

Open to entry level computer science graduates * 0-1-year experience with IT setup, desktop setups * Adept with computer installations, operating systems, Windows 10, hardware support and maintenance

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

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The ideal candidate is an entry-level systems analyst with strong analytical skills and ... Bachelor's degree (or in progress) in Computer Science, Information Systems, GIS, Data Analytics ...

Device Refresh Tech

Anaheim, CA · On-site

$16.90 - $17/hr

Open to entry level computer science graduates * 0-1-year experience with IT setup, desktop setups * Adept with computer installations, operating systems, Windows 10, hardware support and maintenance

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

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Entry Level Computer Science Neuroscience information

See salary details

$33.5K

$48.3K

$63.5K

How much do entry level computer science neuroscience jobs pay per year?

As of Jun 4, 2026, the average yearly pay for entry level computer science neuroscience in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Computer Science Neuroscience vs Entry Level Data Science?

AspectEntry Level Computer Science NeuroscienceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, Neuroscience, or related fieldsBachelor's in Data Science, Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, healthcare, tech companies focusing on neural dataBusiness, tech firms, healthcare, analytics departments
Industry UsageAcademic research, healthcare tech, neuroinformaticsBusiness analytics, tech, finance, healthcare
Common Search/ComparisonYesYes

Entry Level Computer Science Neuroscience combines knowledge of neuroscience and computer science, focusing on neural data analysis and research. Entry Level Data Science emphasizes data analysis, statistical modeling, and insights across various industries. While both roles require programming skills and a background in science or math, they serve different industry needs and applications.

More about Entry Level Computer Science Neuroscience jobs
What cities are hiring for Entry Level Computer Science Neuroscience jobs? Cities with the most Entry Level Computer Science Neuroscience job openings:
What are the most commonly searched types of Computer Science Neuroscience jobs? The most popular types of Computer Science Neuroscience jobs are:
What states have the most Entry Level Computer Science Neuroscience jobs? States with the most job openings for Entry Level Computer Science Neuroscience jobs include:
Infographic showing various Entry Level Computer Science Neuroscience job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 65% Full Time, 29% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Group 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026

Group 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026

MIT Lincoln Laboratory

Lexington, MA • On-site

$21.50 - $25/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
Position Description
Our team is looking for a Co-Op student with an interest in solving challenging AI/ML problems using biomedical signal processing and wearable technology. Through this opportunity, you will work with a multi-disciplinary team
consisting of engineers, scientists, and clinicians to prepare and process large biomedical and physiological datasets (e.g.,PPG, accelerometry, EOG, EEG, commercial-off-the-shelf wearable data, etc), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced prediction and inference of physiological status (i.e. fatigue, illness, stress, etc). We are looking for students who are self-motivated
and interested in signal processing, machine learning, deep learning, statistical pattern recognition, and high-performance computing.
Requirements/Skills
  • The candidate is a student in a B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree.
  • Experience with Python, MATLAB and machine learning (coursework or practical)

Preferred (not required)
  • Biomedical signal processing and/or time series analysis experience
  • Experience with Python and deep learning libraries like: Pytorch, JAX, and/or keras
  • Interest in AI meta-learning, foundation models / self-supervised learning, continual learning, one-shot and/or transfer learning

Compensation for 2026
  • Technical Co-Op: $24.50 - $31.00 per hour (based on year in school)
  • Administrative Co-Op: $21.50 - $25.00 per hour (based on year in school)

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.