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Full Time Computational Neuroscience Jobs (NOW HIRING)

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

... signal processing, and computational neuroscience. We're seeking passionate, creative, and ... Potential for full-time conversion after graduation

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

... signal processing, and computational neuroscience. We're seeking passionate, creative, and ... Potential for full-time conversion after graduation

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

... signal processing, and computational neuroscience. We're seeking passionate, creative, and ... Potential for full-time conversion after graduation

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Full Time Computational Neuroscience information

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$35.5K

$107.6K

$117.5K

How much do full time computational neuroscience jobs pay per year?

As of Aug 10, 2026, the average yearly pay for full time computational neuroscience in the United States is $107,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What jobs can you get with full time computational neuroscience?

Full-time computational neuroscience graduates can pursue roles such as computational neuroscientist, data analyst, machine learning engineer, or research scientist in academia, healthcare, or tech companies. These positions often require skills in programming, data analysis, and understanding neural systems, and may involve working with neuroimaging, neural modeling, or AI applications.

What is the difference between Full Time Computational Neuroscience vs Full Time Data Scientist?

AspectFull Time Computational NeuroscienceFull Time Data Scientist
Required CredentialsAdvanced degrees in neuroscience, computational modeling, or related fieldsDegree in data science, statistics, computer science, or related fields
Work EnvironmentResearch labs, academic institutions, biotech companiesTech companies, finance, healthcare, consulting firms
Industry UsageNeuroscience research, cognitive science, brain-computer interfacesData analysis, predictive modeling, business insights

Full Time Computational Neuroscience focuses on understanding brain functions through computational models, often in research settings. In contrast, Full Time Data Scientists analyze large datasets to extract insights across various industries. While both roles require strong analytical skills, their applications and environments differ significantly.

Is full time computational neuroscience a growing field?

Full time computational neuroscience is a rapidly expanding field driven by advances in neuroimaging, machine learning, and data analysis techniques. Increasing research funding and interdisciplinary collaboration are contributing to job growth and new opportunities for specialists with skills in programming, neuroscience, and computational modeling.
More about Full Time Computational Neuroscience jobs
What cities are hiring for Full Time Computational Neuroscience jobs? Cities with the most Full Time Computational Neuroscience job openings:
What are the most commonly searched types of Computational Neuroscience jobs? The most popular types of Computational Neuroscience jobs are:
What job categories do people searching Full Time Computational Neuroscience jobs look for? The top searched job categories for Full Time Computational Neuroscience jobs are:
Full Time Computational Neuroscience jobs near you
Infographic showing various Full Time Computational Neuroscience job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 61% Full Time, 33% Part Time, and 2% Contract. Highlights an 62% Physical, 2% Hybrid, and 36% Remote job distribution, with an average salary of $107,582 per year, or $51.7 per hour.

Postdoctoral Research Fellow

Brown University

Providence, RI • On-site

Full-time

Posted 6 days ago

Brown University rating

8.1

Company rating: 8.1 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

160th of 617 rated colleges and universities

Job description

Description
The Nancy G. Zimmerman Center for Computational Brain Science at Brown University is seeking Postdoctoral Fellows to join the NIMH funded T32 Training Program. The program's goal is to train research fellows with expertise in computational, cognitive, and systems neuroscience, capable of collaborating with clinical researchers to advance knowledge of psychiatric disorders and treatments. Eligible research topics include brain and cognitive modeling over multiple scales and levels of analysis (ranging from biophysics to artificial intelligence), and the use of these models to understand mechanisms of psychiatric disorders with the ultimate goal of improving treatments. The program embraces an apprenticeship model in which fellows work with a primary research trainer in a computational field and, optionally, a secondary research mentor in clinical psychiatry. In this apprenticeship model, the trainer works closely with the fellow and a secondary clinical psychiatry mentor who conducts research in areas such as neuroimaging, neurostimulation, and digital phenotyping. These research areas are especially well-suited for addressing important issues in computational psychiatry, whether they are model- or theory-driven or data-driven. The proposed didactic program will include both core seminars and an individualized curriculum, including fellow-selected courses in neuroscience, computer science, engineering, applied mathematics, or psychiatric disorders. The long-term goal is to produce a new cohort of academics who can conduct research in computational psychiatry and train the next generation of graduate students in this emerging field of inquiry.
The Zimmerman Center for Computational Brain Science has a strong track record of excellence in computational neuroscience. The TPCP training program seeks to recruit recent PhDs with strong backgrounds in fields such as neuroscience, engineering, applied mathematics, and computer science, and provide them with the tools to make significant contributions to the emerging field of computational psychiatry.
Salary will be based on Brown's minimum pay scale and is commensurate with experience. This is a full-time in person position, based in Providence, RI. Selected applicants are eligible for a one-time onboarding supplement of $3,000, in compliance with Brown's policy.
Qualifications
Qualifications include:
  • PhD and/or MD degree (requirements for a doctoral degree must be completed before start of the
  • position.)
  • Research experience in a computational field such as neuroscience, cognitive science, computer science, engineering, applied mathematics, or a related discipline, applicable to computational psychiatry.
  • A published record of research accomplishment.
  • Excellent verbal and written communication skills.
  • Appicants must be a citizen or a noncitizen national of the United States or have been lawfully admitted for permanent residence at the time of appointment, per the requirements of the NIH T32 funding mechanism.

Application Instructions
Applicants should submit a CV, statement of research interests, up to three representative publications, and names of three references through Interfolio. Candidates should address how they would contribute to the research and/or teaching missions of our diverse and inclusive university community. Letters of recommendation should be requested by the applicants but should be uploaded by the recommenders confidentially to the Interfolio portal. Candidates are encouraged to contact individual faculty trainers in advance to explore common research interests, in which case this should be mentioned in the statement of research interests. The list of eligible faculty trainers can be found on the Training Program in Computational Psychiatry's website.
Application review will begin September 1, 2026.

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