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How much do temporary computational neuroscience jobs pay per year?

As of Jul 19, 2026, the average yearly pay for temporary 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 are the key skills and qualifications needed to thrive as a Temporary Computational Neuroscience Researcher, and why are they important?

To thrive as a Temporary Computational Neuroscience Researcher, you generally need a strong background in neuroscience, mathematics, computer science, and data analysis, often supported by a relevant degree or research experience. Familiarity with programming languages like Python or MATLAB, statistical analysis software, and neural modeling frameworks is typically required. Critical thinking, problem-solving, and effective collaboration are essential soft skills to excel in interdisciplinary research settings. These skills are crucial for interpreting complex neural data, developing computational models, and contributing meaningful insights to scientific projects within limited timeframes.

What is the difference between Temporary Computational Neuroscience vs Data Scientist?

AspectTemporary Computational NeuroscienceData Scientist
Required CredentialsAdvanced degrees in neuroscience, computational modelingDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, academic institutions, biotech companiesTech firms, finance, healthcare, consulting
Industry UsageNeuroscience research, cognitive science, biotechBusiness analytics, machine learning, data analysis

Temporary Computational Neuroscience roles focus on modeling brain functions and neural data analysis, often within research settings. Data Scientists analyze large datasets across various industries, applying statistical and machine learning techniques. While both roles require strong analytical skills, Temporary Computational Neuroscience emphasizes neuroscience expertise, whereas Data Scientists focus on data-driven decision-making across sectors.

What is a Temporary Computational Neuroscience position?

A Temporary Computational Neuroscience position is a time-limited job in which individuals apply mathematical, computational, and theoretical techniques to understand how the nervous system works. These roles are often found in academic or research settings and may involve tasks such as developing computer models of neural networks, analyzing brain imaging data, or supporting ongoing research projects. Temporary positions are typically offered for specific research grants, projects, or to cover short-term staffing needs, and can range from a few months to a couple of years. This role is ideal for gaining research experience, especially for students, recent graduates, or professionals exploring a career in neuroscience.

What types of projects do Temporary Computational Neuroscience professionals typically work on, and how do they collaborate with other team members?

Temporary Computational Neuroscience professionals are often involved in short-term research projects such as developing neural network models, analyzing large-scale brain imaging data, or contributing to ongoing experiments. They frequently collaborate with neuroscientists, data analysts, and software engineers to interpret results and refine computational models. Effective communication and adaptability are crucial, as projects can be fast-paced and multidisciplinary. This environment offers valuable exposure to cutting-edge research methods and can serve as a stepping stone for more permanent roles or advanced academic opportunities.
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What cities are hiring for Temporary Computational Neuroscience jobs? Cities with the most Temporary Computational Neuroscience job openings:
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Temporary Computational Neuroscience jobs near you
Infographic showing various Temporary Computational Neuroscience job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 70% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $107,582 per year, or $51.7 per hour.

Pre-Doctoral Researcher, Initiative for Computational Catalysis

Flatiron Institute

Manhattan, NY • On-site

$60K/yr

Full-time

Re-posted 12 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