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Summer Computational Neuroscience Software Engineer Jobs

Weyland-Yutani Corporation

$179K/yr

THIS ROLE SITS AT THE INTERSECTION OF COMPUTATIONAL NEUROSCIENCE, ADVANCED AI, AND SYSTEMS ENGINEERING. RESPONSIBILITIES * ARCHITECT AND VALIDATE NEURAL LATTICE TOPOLOGIES FOR SYNTHETIC COGNITIVE ...

American Society for Experimental Neurotherapeutics

... Biomedical Engineering, Cognitive Science, Public Health, or a related field and 12+ years of ... Expertise in computational modeling, machine learning, predictive analytics, biomarker development ...

Astera

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 ...

Sciotex

The opportunity Sciotex is seeking a PhD-level Computational Physicist / Computer Vision Algorithm Engineer to develop the algorithms and scientific software behind next-generation industrial ...

New York University

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.

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 ...

Astera Institute

$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 ...

The Mind Research Network

Professor

Albuquerque, NM · On-site

Computational neuroscience, neuro-informatics, and machine learning Researchers working in related ... Advanced expertise in neuroscience, psychology, biomedical engineering, or a closely related field ...

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

As of Sep 14, 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 does a summer computational neuroscience software engineer 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 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.

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 cities are hiring for Summer Computational Neuroscience Software Engineer jobs?

Cities with the most Summer Computational Neuroscience Software Engineer job openings:

What are the most commonly searched types of Computational Neuroscience Software Engineer jobs?

The most popular types of Computational Neuroscience Software Engineer jobs are:

What states have the most Summer Computational Neuroscience Software Engineer jobs?

States with the most job openings for Summer Computational Neuroscience Software Engineer jobs include:

What are popular job titles related to Summer Computational Neuroscience Software Engineer jobs?

For Summer Computational Neuroscience Software Engineer jobs, the most frequently searched job titles are:

Summer Computational Neuroscience Software Engineer jobs near you
Infographic showing various Summer Computational Neuroscience Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $93,015 per year, or $44.7 per hour.

Instructor - O'Donnell Brain Institute [Req#: 956148, Position#: 132306]

Dallas, TX • On-site

UT Southwestern Medical Center
Hospitals • 10K+ employees
Learn more about UT Southwestern Medical Centerexternal

$100K/yr

Full-time

Re-posted 9 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

Job description

Description
The O'Donnell Brain Institute at UT Southwestern Medical Center invites applications for the Early Impact Faculty Scholar (EIFS) Program in Computational and Theoretical Neuroscience. This program is designed to recruit exceptional early-career scientists who are pursuing innovative research in theoretical neuroscience, computational neuroscience, AI-related neuroscience, and related disciplines.
The EIFS appointment is a faculty-level Instructor position that provides outstanding early-career researchers with the opportunity to establish an independent research program while receiving mentorship, institutional support, and the ability to compete for independent research funding.
Faculty Scholars are appointed for a three-year term (with a two-year appointment possible in exceptional cases) and are supported by an Advisory Committee of internal and external experts who provide career guidance, scientific mentorship, and formal evaluation for potential transition to a tenure-track faculty position.
Responsibilities
  • Develop and lead an innovative, independent research program in computational and/or theoretical neuroscience.
  • Pursue externally funded research.
  • Collaborate with investigators across the O'Donnell Brain Institute and UT Southwestern.
  • Participate in scientific presentations, seminars, and institute activities.
  • Meet regularly with an Advisory Committee that provides mentorship and career development guidance.
  • Present research progress and future plans during the formal review process for potential transition to a tenure-track faculty appointment.

Required Qualifications
  • PhD in neuroscience, computational neuroscience, computer science, engineering, physics, mathematics, statistics, or a related quantitative discipline, or a PhD thesis approved for defense by the time of appointment.
  • Candidates must be at the earliest stages of their independent research career, from completion of the PhD through approximately 2-3 years post-PhD.
  • Demonstrated research excellence and strong potential for developing an independent research program in computational and/or theoretical neuroscience.
  • Evidence of scholarly productivity through publications in peer-reviewed journals and presentations at scientific conferences.
  • Expertise in one or more of the following areas: computational neuroscience, theoretical neuroscience, artificial intelligence, machine learning, mathematical modeling, data science, or related fields.
  • Excellent written and verbal communication skills and the ability to collaborate effectively within an interdisciplinary research environment.

Preferred Qualifications
  • Research that complements and enhances the scientific mission of the O'Donnell Brain Institute.
  • Demonstrated ability to develop innovative, high-impact research questions.
  • Experience working across disciplines, including neuroscience, computation, AI, engineering, or quantitative biology.
  • Potential to secure independent extramural research funding.

Appointment and Support
The Early Impact Faculty Scholar appointment includes:
  • Three-year Instructor faculty appointment (two-year appointment possible in exceptional circumstances)
  • 100% institutional salary support during the appointment
  • $100,000 annually for research staff and related research expenses
  • Institutional support for computational resources based on research needs
  • Eligibility to apply for independent research funding

Faculty are formally evaluated during the appointment for potential transition to a tenure-track Assistant Professor position.
Application Instructions
  • Cover letter describing research interests and qualifications for the position.
  • Curriculum vitae (CV).
  • Research statement (3-5 pages) outlining past accomplishments, current research, and future research plans.
  • Contact information for three professional references (letters of recommendation may be requested at a later stage).

Applications should be submitted electronically through the UT Southwestern Careers website. Review of applications will begin immediately and continue until the position is filled.

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