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Neuroscience Python Research Jobs (NOW HIRING)

A PhD in cell biology, biophysics, gene regulation, neuroscience or related discipline * Prior ... R, Python) for data analysis * Strong record of peer-reviewed publications * Ability to ...

Vashisht College of Medicine Department of Neuroscience and Experimental Therapeutics (NExT ... Python, R, or equivalent tools. * Strong organizational, communication, and scientific writing ...

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Neurobiology and others), the NAPE lab is associated with the Department of Anesthesiology and Pain ... Write custom codes in Matlab and Python * Develop statistical and machine learning methodologies to ...

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How much do neuroscience python research jobs pay per hour?

As of Sep 10, 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?

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.

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.

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.

What are popular job titles related to Neuroscience Python Research jobs?

For Neuroscience Python Research jobs, the most frequently searched job titles are:

Infographic showing various Neuroscience Python Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Postdoctoral Research Associate - Developmental Neurobiology - Solecki Lab

On-site

St. Jude Children's Research Hospital
Health Care and Social Assistance • 1 - 5K employees

Other

Posted 8 days ago


St. Jude Children's Research Hospital rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

30th of 1,066 rated hospitals


Job description

Postdoctoral Research Associate - Developmental Neurobiology - Solecki Lab

Location

Memphis, TN

Category

Postdoc

Department

Shift

Weekday Day

Position Type

Full Time

Scheduled Weekly Hours

40

JR7468

Job Description

The Solecki Lab is building imaging-based biosensor platforms that makes chromatin states and cell polarity decisions visible in living neurons and experimentally queryable as cell-biological systems. We are looking for postdoctoral fellows who do not simply want to perform experiments but wants to help build the experimental framework for understanding how cell biological transitions unfold as neurons mature and assemble into brain circuits......by watching these processes happen in real time.

Are you a trainee who wants to be scientifically invested in defining cell states like chromatin organization or cell polarity beyond the limits of indirect molecular biology or biochemistry approaches? Postdoctoral researchers in the lab will carry out their own independent research projects and make use of live-cell biosensors, advanced microscopy, neuronal differentiation systems, acute perturbations, and quantitative image analysis in order to find out how intracellular state transitions are organized in developing neurons. The aim is not merely to apply existing tools, but to help in the development of new experimental approaches, including probes, assays, imaging strategies, and perturbation methods, that make previously invisible cell biological processes visible, measurable, and capable of being tested mechanistically.

Successful fellows will have the opportunity to define a major project within the lab’s broader effort to understand neuronal maturation, chromatin-state dynamics, polarity transitions, nuclear organization, and circuit assembly. Fellows will work closely with the PI and an interdisciplinary team to develop high-risk, high-reward experiments, generate first-author publications, present at national and international meetings, and build a scientific identity at the interface of developmental neurobiology, live-cell imaging, biosensor engineering, and quantitative cell biology.

Join a supportive multi-disciplinary lab comprised of biophysicists, optics experts, data scientists, cell-biologists and developmental neurobiologists that unravel how the brain is built during development. You will be on the ground floor of transformative biosensor platforms with exposure to cutting-edge imaging technologies like lattice light sheet or super-resolution platforms, data science core labs, and an unusually collaborative environment where new imaging probes, microscopy, and analytical methods converge on fundamental problems in brain development.

The Ideal Candidate will have:

  • A PhD in cell biology, biophysics, gene regulation, neuroscience or related discipline

  • Prior experience in live-cell imaging, super-resolution microscopy, and/or imaging probe development.

  • Familiarity with programming languages (e. g. R, Python) for data analysis

  • Strong record of peer-reviewed publications

  • Ability to independently design and execute experiments and interpret data

  • Ability for cogent experimental preparation, validation, documentation, and troubleshooting.

In your cover letter, please describe one experimental system, assay, protocol, or project that you personally helped build or improve. What was not working at first? What did you change? How did you know the system had become reliable? What discovery did it enable?

St. Jude is an Equal Opportunity Employer

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