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Neuroscience Python Research Jobs (NOW HIRING)

Research Assistant

Providence, RI · On-site

$19.50 - $26.75/hr

Research related duties include assisting with the development and application of Python and Matlab code for computational neuroscience coding and data analysis projects in the lab, assistance in ...

Research Assistant

Sidney, OH

$18 - $24.50/hr

Research related duties include assisting with the development and application of Python and Matlab code for computational neuroscience coding and data analysis projects in the lab, assistance in ...

Research Assistant

Somerville, MA · On-site

$20.16 - $29.01/hr

Psychology, neuroscience, computer science, engineering, and premed majors are encouraged to apply ... MATLAB, Python, R) is preferred but not required. Applications are being accepted for the position ...

... mouse neuroscience research. This position focuses on data management, analysis, and study ... Conduct quantitative analyses using Python and/or R * Analyze and interpret high-throughput DNA/RNA ...

Research Assistant

Somerville, MA · On-site

$20.16 - $29.01/hr

MATLAB, Python, R) is preferred but not required. • Applications are being accepted for the ... EXPERIENCE: • Psychology, neuroscience, computer science, engineering, and premed majors are ...

Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis.- Research experience involving neuroscience methods.- Master's degree or Bachelor's plus 2 years postbaccalaureate ...

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Neuroscience Python Research information

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How much do neuroscience python research jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for neuroscience python research in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Neuroscience Python Researcher?

A Neuroscience Python Researcher is a scientist or research professional who uses the Python programming language to analyze and interpret data related to the brain and nervous system. They often work on computational models, analyze neural data from experiments, and develop tools for simulating brain activity. Their work bridges neuroscience and data science, enabling discoveries about brain function and neurological disorders. Proficiency in Python allows these researchers to handle large datasets, automate analyses, and create visualizations that provide insights into complex neural processes.

What are the key skills and qualifications needed to thrive as a Neuroscience Python Researcher, and why are they important?

To thrive as a Neuroscience Python Researcher, you need a strong foundation in neuroscience, data analysis, and proficiency in Python programming, often supported by an advanced degree in neuroscience, computer science, or a related field. Experience with scientific computing libraries (such as NumPy, SciPy, and Pandas), neuroimaging tools (like Nibabel or MNE), and version control systems (like Git) is typically required. Critical thinking, attention to detail, and effective collaboration are essential soft skills for interpreting complex data and working within multidisciplinary teams. These skills ensure accurate research findings, efficient data processing, and successful contributions to neuroscience discoveries.

What is the difference between Neuroscience Python Research vs Neuroscience Data Analyst?

AspectNeuroscience Python ResearchNeuroscience Data Analyst
Required CredentialsTypically requires a neuroscience or related degree, programming skills in Python, and research experienceUsually needs a degree in neuroscience, data analysis, or related field, with proficiency in data tools and Python
Work EnvironmentResearch labs, academic institutions, or biotech companies focusing on neuroscience studiesHealthcare institutions, research organizations, or biotech firms analyzing neuroscience data
Employer & Industry UsageUsed in academic research, biotech R&D, and neuroscience-focused companiesApplied in clinical research, healthcare analytics, and biotech data departments

Neuroscience Python Research focuses on conducting experiments and developing models using Python in neuroscience studies. In contrast, Neuroscience Data Analysts primarily interpret and visualize neuroscience data to support research and clinical decisions. Both roles require strong analytical skills and familiarity with Python, but their core responsibilities differ in research versus data interpretation.

How does a Neuroscience Python Researcher typically collaborate with interdisciplinary teams during a research project?

As a Neuroscience Python Researcher, you will frequently work alongside neuroscientists, data analysts, and clinicians to design experiments, analyze neural data, and interpret results. Collaboration often involves translating biological questions into computational models, developing custom scripts for data processing, and presenting findings in team meetings. Effective communication and the ability to bridge the gap between programming and neuroscience concepts are essential, as you'll be expected to explain technical solutions to non-programmers and incorporate feedback from diverse experts.
Infographic showing various Neuroscience Python Research job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 8% Internship, 1% As Needed, 52% Full Time, 9% Part Time, and 27% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Neuroscience Research Methodologist

Neuroscience Research Methodologist

Massachusetts Institute of Technology

Cambridge, MA • On-site

$111K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

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Job description

Neuroscience Research Methodologist

  • Job Number: 25720
  • Functional Area: Research - Scientific
  • Department: Brain & Cognitive Sciences
  • School Area: Science
  • Pay Range Minimum: $74,000
  • Pay Range Maximum: $111,000
  • Employment Type: Full-time Temporary (Hybrid)
  • Employment Category: Exempt
  • Visa Sponsorship Available: No
  • Schedule:
  • Pay Grade: No Grade

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Posting Description

NEUROSCIENCE RESEARCH METHODOLOGIST, Brain and Cognitive Sciences, will be responsible for open science practices and data management across all the areas of molecular/cellular, systems, cognitive, and computational neuroscience. This role will work directly with individual BCS labs to assess current data management practices, recommend solutions, and provide technical support for implementing data standards, FAIR-compliant workflows, and AI-assisted tools for data organization and curation.

The full description is available here: https://www.dropbox.com/scl/fi/3i07sztc00amb3ds1ahqq/STIRR-Research-Scientist-JD.pdf?rlkey=54jqx4h0awc7jvako6u9jmp44&st=snrwmcw0&dl=0

Job Requirements

REQUIRED: PhD in Neuroscience or a related field; 3-5 years postdoctoral experience; demonstrated practical experience with data standards and repositories; sufficient computational proficiency to read, run, debug, and evaluate code fromneuroscience labs (Python and/or MATLAB required; experience with shell scripting and version control expected); familiarity with AI/ML tools applicable to research workflows, including experience using LLMs for code generation, documentation, or data processingtasks; strong communication skills, with a demonstrated ability to explain technical concepts to researchers with diverse computational and scientific backgrounds. PREFERRED: Experience across multipleneuroscience data modalities (e.g., fMRI, electrophysiology, single-cell genomics, calcium imaging, behavioral video); experience with containerization tools and/or workflow managers; practical experience deploying automated FAIR compliance tools, metadataextraction pipelines, or AI-assisted curation workflows; prior experience in a consulting or staff scientist capacity serving multiple research groups; familiarity with the BRAIN Initiative data infrastructure landscape (DANDI, BICAN, or related consortia).

5/15/2026


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