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Summer Computational Neuroscience Software Engineer Jobs

Astera

Principal Software Engineer

Emeryville, CA · On-site

$300K - $600K/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 ...

New York University

Software Engineer

Manhattan, NY

... 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.

Brown University

Research Assistant

Sidney, OH

$18 - $24.50/hr

... computational neuroscience coding and data analysis projects in the lab, assistance in human data collection, and project management software administration for lab projects. This is a fixed term ...

Brown University

Research Assistant

Providence, RI · On-site

$19.50 - $26.75/hr

... computational neuroscience coding and data analysis projects in the lab, assistance in human data collection, and project management software administration for lab projects. This is a fixed term ...

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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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Summer Computational Neuroscience Software Engineer jobs near you
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.

Pre-Doctoral Researcher, Initiative for Computational Catalysis

Flatiron Institute

Manhattan, NY • On-site

$60K/yr

Full-time

Posted 3 days ago

Job description

Description
ORGANIZATIONAL OVERVIEW
The Flatiron Institute is a research unit established by the Simons foundation to advance scientific research through computational methods, including data analysis, modeling and simulation. The Initiative for Computational Catalysis is the newest to the Flatiron Institute launched in July 2024 and is dedicated to the development and application of computational techniques enabling the rational design of more efficient and affordable catalysts. In order to tackle the complex mechanisms and dynamics of catalytic processes, research from electronic structure, molecular dynamics, and machine learning are combined in computational approaches. In addition to ICC, the Flatiron Institute hosts the Centers for Computational Astrophysics, Computational Biology, Computational Mathematics, Computational Quantum Physics, and Computational Neuroscience, and a common scientific computing core.
The Initiative for Computational Catalysis (ICC) seeks temporary full-time Pre-doctoral Researchers as part of its Pre-Doctoral Program. This program provides graduate students pursuing their PhD in a relevant field the opportunity to be employed at the ICC for 4 months for the purpose of working on a research project with one or more ICC staff mentors. This position will be based onsite at the foundation in New York City.
Applicants for this position should indicate in their application one or more potential mentors at ICC and must have the approval of their thesis advisor. Pre-doctoral sessions will be held in the Fall and Spring. Applications submitted by May 29, 2026 will be considered for the Fall 2026 session. Applications submitted by August 28, 2026 will be considered for the Spring 2027 session.
Research projects may entail developing and implementing the concepts, algorithms and codes needed to obtain insight into the microscopic processes of catalytic reactions, and ultimately predict materials with targeted catalytic properties. Information about potential mentors and research projects may be obtained from ICC's website.
Qualifications
Education
  • Currently engaged in dissertation research in a PhD program in a field such as physics, chemistry, materials science, or a related field relevant to the proposed research.

ESSENTIAL FUNCTIONS/RESPONSIBILITIES
  • Reporting to a designated ICC staff scientist, the research intern will apply skills of analytical calculation, algorithm development and implementation, testing and running computer codes, and data analysis to topics of relevance to ICC's mission.
  • Other responsibilities including reporting on research, writing documentation, and performing other ICC mission-related tasks or duties as required.

Experience
  • At least 1-2 years of advanced course work in areas relevant to the proposed research along with 1 or more years of relevant research experience.
  • Demonstrated understanding of basic research skills
  • Experience with programming in one or more of the following: Matlab, Python, Julia, Fortran or C/C++ under Windows, OS-X or Linux operating systems.

Related Skills & Other Requirements
  • Technical and scientific curiosity
  • Professional and effective communication skills
  • Excellent collaboration skills
  • Knowledge of software engineering practices for working in groups, including software development life cycles, coding standards, code review and version control systems (e.g., Git) and of linux is desirable.

Application Instructions
REQUIRED APPLICATION MATERIALS
  • CV and publication list
  • Description of previous research experience (not to exceed two pages)
  • Research proposal of not more than 2 pages outlining planned work at Flatiron including name(s) of potential mentor(s) and the Fall or Spring session dates.
  • Two (2) letters of recommendation submitted confidentially by the letter writers through Interfolio. One letter must be from the applicant's PhD supervisor and must explicitly approve the applicant's possible participation in the Pre-Doctoral Program as well as confirm that, should they be selected, there will be tuition support during their time in the Pre-Doctoral program.

SESSION DATES:
  • Fall 2026: September 8, 2026 to December 18, 2026
  • Spring 2027: January 11, 2027 to May 14, 2027

APPLICATION DEADLINE:
  • The application deadline for the Fall program is May 29, 2026
  • The application deadline for the Spring program is August 28, 2026

COMPENSATION AND BENEFITS
  • The full-time annualized compensation for this position is $60,000, which will be prorated for the term.
  • This position is eligible for medical benefits only.

Apply