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Summer Computational Neuroscience Software Engineer Jobs

Software Engineer

San Francisco, CA · On-site

$140K - $200K/yr

About the Role As a Software Engineer , you will build the infrastructure that allows us to do high ... powers machine learning and computational neuroscience workflows. * Built core Python ...

... engineers and researchers, to design experiments to optimize next-generation neural decoding ... PhD/postdoc in neuroscience or a related field. * Extensive experience in designing and executing ...

Staff Software Engineer

Emeryville, CA · On-site

$200K - $500K/yr

... to computational resources and complete freedom from funding pressures or profit motives. This ... We are integrating neuroscience, AI, and bioengineering to understand and digitally model the ...

Software Engineer

New York, NY · On-site

$100K - $250K/yr

... neuroscience and quantum computing. The selected candidates will work closely with a group of ... The hired engineer will have access to computational resources allowing training of large AI models.

About the role As a computational neuroscientist , you will develop new tools and techniques for ... PhD in neuroscience, biomedical engineering, machine learning, computer science, or related fields ...

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How much do summer computational neuroscience software engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for summer computational neuroscience software engineer in the United States is $93,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What does a Summer Computational Neuroscience Software Engineer do?

A Summer Computational Neuroscience Software Engineer is typically an intern or temporary team member who works at the intersection of neuroscience and software engineering. They help develop software tools, simulations, or data analysis pipelines to support neuroscience research, often using programming languages like Python, MATLAB, or C++. Their work may involve modeling neural systems, processing neural data, or creating visualization tools for scientific studies. These engineers collaborate with neuroscientists to translate experimental questions into computational solutions, contributing to a better understanding of the brain during their summer position.

What types of projects do Summer Computational Neuroscience Software Engineers typically work on, and how do these projects contribute to the team's research goals?

Summer Computational Neuroscience Software Engineers often collaborate closely with neuroscientists and data analysts to develop and optimize software tools for analyzing neural data, simulating brain activity, or visualizing complex datasets. Projects may include building data pipelines, creating machine learning models to interpret neuronal signals, or developing interactive visualization dashboards. These contributions are crucial for advancing the team's research objectives, as they enable faster and more accurate analysis of experimental data, supporting the discovery of new insights in brain function. Working in a multidisciplinary environment, you'll gain exposure to both cutting-edge neuroscience and advanced software engineering practices.

What is the difference between Summer Computational Neuroscience Software Engineer vs Summer Data Scientist?

AspectSummer Computational Neuroscience Software EngineerSummer Data Scientist
Required CredentialsComputer science, neuroscience, or related degrees; programming skillsStatistics, computer science, or related degrees; programming skills
Work EnvironmentResearch labs, academic institutions, tech companiesTech firms, research organizations, startups
Industry UsageNeuroscience research, AI development, biotechBusiness analytics, machine learning, data analysis
Common Search IntentComparing roles in neuroscience and software engineeringUnderstanding data analysis roles in tech

Summer Computational Neuroscience Software Engineers focus on developing software for neuroscience research, combining programming with understanding neural systems. Summer Data Scientists analyze large datasets to extract insights, often using statistical and machine learning techniques. While both roles require programming skills and data analysis knowledge, the former emphasizes neuroscience applications, whereas the latter centers on business and data-driven decision-making.

What are the key skills and qualifications needed to thrive as a Summer Computational Neuroscience Software Engineer, and why are they important?

To excel as a Summer Computational Neuroscience Software Engineer, you typically need a solid background in computer science, neuroscience, or a related field, along with proficiency in programming languages such as Python or MATLAB. Familiarity with neural data analysis tools, machine learning frameworks, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help candidates stand out in collaborative research environments. These competencies are vital for efficiently developing, troubleshooting, and optimizing software that supports cutting-edge neuroscience research.
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Infographic showing various Summer Computational Neuroscience Software Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $93,015 per year, or $44.7 per hour.
Joint CUNY - Center for Computational Neuroscience Visiting Scholar

Joint CUNY - Center for Computational Neuroscience Visiting Scholar

Simons Foundation

Manhattan, NY • On-site

Full-time

Posted 23 days ago


Job description

Job Summary:
The Simons Foundation is a leading organization in the field of neuroscience and computational research. They are seeking a Visiting Scholar for a joint position at the CUNY Graduate Center and the Flatiron Institute’s Center for Computational Neuroscience, where the role involves conducting research in computational neuroscience, developing models, and contributing to the scientific community through publications and software support.
Responsibilities:
• Conduct research in computational neuroscience, building models that are motivated by fundamental principles to provide insight into perception, cognition, and behavior.
• Publish research in refereed scientific and technical journals and present research at scientific conferences
• Provide publicly available software for use by the scientific community
• Support the public use of available software
• Assist in the organization of CCN-related workshops, conferences, group meetings and seminars
• Actively work with and provide support to postdoctoral Flatiron research fellows and visiting graduate and undergraduate students
• Mentor summer students and assist in the organization of summer programs
• Perform other duties or tasks as assigned or required
Qualifications:
Required:
• PhD degree in Physics, Math, Engineering, Neuroscience, Cognitive Science, Psychology, or Computer Science
Preferred:
• Postgraduate research experience (typically 2 to 6 years) in computational neuroscience, or related field of interest to the CCN
• A record of excellence in scientific publication
• Ability to do original and outstanding research in neuroscience
• Effective oral and written communication skills
• Ability to work independently as well as in a collaborative team environment
Company:
Simons Foundation is a private foundation funding research in mathematics and the basic sciences. Founded in 1994, the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.