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Computational Neuroscience Software Engineer Jobs

SIMILAR CAREER TITLES High-Performance Computing Engineer, Parallel Computing Engineer, Computational Scientist, HPC Systems Engineer, Software Optimization Engineer, Supercomputing Specialist ...

SIMILAR CAREER TITLESHigh-Performance Computing Engineer, Parallel Computing Engineer, Computational Scientist, HPC Systems Engineer, Software Optimization Engineer, Supercomputing Specialist ...

SIMILAR CAREER TITLESHigh-Performance Computing Engineer, Parallel Computing Engineer, Computational Scientist, HPC Systems Engineer, Software Optimization Engineer, Supercomputing Specialist ...

SIMILAR CAREER TITLESHigh-Performance Computing Engineer, Parallel Computing Engineer, Computational Scientist, HPC Systems Engineer, Software Optimization Engineer, Supercomputing Specialist ...

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Computational Neuroscience Software Engineer information

What are the typical daily responsibilities of a Computational Neuroscience Software Engineer?

A Computational Neuroscience Software Engineer typically spends their day developing and optimizing software tools for simulating neural circuits, analyzing large datasets, and collaborating closely with neuroscientists to support their research objectives. Regular tasks may include writing and testing code for neural models, troubleshooting computational issues, and maintaining or improving existing software pipelines. You’ll also participate in coding reviews, team meetings, and interdisciplinary discussions to ensure alignment between software capabilities and scientific goals. The role often involves both independent work and close collaboration with researchers, data scientists, and other engineers, creating a dynamic and intellectually stimulating environment.

What is a Computational Neuroscience Software Engineer job?

A Computational Neuroscience Software Engineer develops software tools, simulations, and models to analyze and interpret neural data. They work at the intersection of neuroscience, machine learning, and software engineering to advance our understanding of brain function. Responsibilities may include designing algorithms, optimizing data processing pipelines, and building neural network simulations. These engineers often collaborate with neuroscientists to translate biological insights into computational models. Strong programming skills, knowledge of neuroscience principles, and experience with scientific computing frameworks are typically required.

What are the key skills and qualifications needed to thrive in the Computational Neuroscience Software Engineer position, and why are they important?

To thrive as a Computational Neuroscience Software Engineer, you need a solid background in computer science, neural modeling, and applied mathematics, typically supported by a degree in a related field. Experience with programming languages such as Python, MATLAB, or C++, and familiarity with simulation frameworks or neuroinformatics platforms are highly desirable. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set you apart in this position. These skills enable you to efficiently develop, analyze, and refine computational models that advance neuroscience research and applications.

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Pre-Doctoral Researcher, Initiative for Computational Catalysis

Flatiron Institute

Manhattan, NY • On-site

$60K/yr

Full-time

Posted 29 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.