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Neuroscience Python Research Jobs (NOW HIRING)

... neuroscience. Responsibilities : • Building infrastructure to facilitate the next generation of ... Python and PyTorch/Jax/Tensorflow, agentic frameworks (e.g., MCP), as well as feel at ease in ...

... neuroscience, deep learning, machine learning, persistent surveillance, autonomous systems, and ... Proficiency in scientific programming with Python * Hands-on experience with C and/or C++ * Strong ...

... neuroscience, deep learning, machine learning, persistent surveillance, autonomous systems, and ... Proficiency in scientific programming with Python * Hands-on experience with C and/or C++ * Strong ...

The research program in the Girirajan laboratory focuses on integrating family-based genetic ... Programming experience (e.g., R, Python, or related languages) is preferred but not required.

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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.

Post Doctoral Associate-Neurobiology

Pittsburgh, PA

University of Pittsburgh
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Re-posted 12 days ago


Key responsibilities

  • Develop and conduct research using mouse models, molecular biology, viral gene delivery, histology, microscopy, neural circuit tracing, transcriptomic profiling, and computational analysis.

  • Analyze molecular, anatomical, and circuit-level datasets, including single-cell and spatial transcriptomics, to investigate corticospinal circuit organization, injury response, and plasticity.

  • Mentor graduate and undergraduate trainees, participate in laboratory management, and contribute to research dissemination through presentations, manuscript, and grant preparation.


Job description

Postdoctoral Associate in Corticospinal Circuit Biology, Stroke, and Transcriptomics (University of Pittsburgh)

The Department of Neurobiology at the University of Pittsburgh School of Medicine invites applications for a highly motivated Postdoctoral candidate to join the laboratory of Dr. Vibhu Sahni. The laboratory investigates the molecular and developmental mechanisms that establish long-range corticofugal connectivity and determine how these circuits respond to injury and contribute to functional recovery. Using mouse models, viral tools, molecular profiling, transcriptomic approaches, and anatomical and computational analyses, the laboratory seeks to define the molecular programs that regulate corticospinal circuit organization, plasticity, and repair, with a particular emphasis on corticospinal tract responses following stroke and other forms of central nervous system injury.

The successful candidate will develop an independent research program while contributing to ongoing laboratory projects investigating the organization, injury response, plasticity, and regeneration of descending motor pathways. Current research focuses on understanding the molecular states and gene regulatory programs of corticospinal and related descending motor neuron populations, how these programs change following stroke and central nervous system injury, and how they can be manipulated to promote structural and functional recovery.
The candidate will employ a combination of mouse models of stroke and CNS injury, molecular biology, viral gene delivery, histology, microscopy, neural circuit tracing, transcriptomic profiling, and computational analysis. A major component of the position will involve transcriptomic and bioinformatic approaches, including single-cell and/or single-nucleus RNA sequencing, spatial transcriptomics or spatial RNA-sequencing approaches, and integration of high-dimensional molecular, anatomical, and circuit-level datasets. Additional responsibilities include mentoring graduate and undergraduate trainees, participating in laboratory management, presenting research at national and international meetings, and contributing to manuscript and grant preparation. The successful applicant will join a vibrant neuroscience community at the University of Pittsburgh with extensive opportunities for collaboration across the Department of Neurobiology, the Center for Neuroscience, and affiliated research centers.

Applicants must have a Ph.D. in Neuroscience, Neurobiology, Developmental Biology, Molecular Biology, Computational Biology, Biomedical Engineering, or a closely related field. Demonstrated research expertise in corticospinal tract and/or descending motor circuit biology is required, with particular emphasis on stroke, CNS injury, neural plasticity, or circuit repair. Applicants must also have experience with transcriptomic approaches, including single-cell and/or single-nucleus RNA sequencing, and demonstrated experience with or strong expertise in spatial transcriptomics or spatial RNA-sequencing approaches. Experience with bioinformatic and computational analysis of large-scale sequencing datasets, including proficiency with R and/or Python, is required.
Experience in one or more of the following areas is additionally desirable: mouse models of ischemic stroke, including photothrombotic stroke; viral vector approaches; stereotaxic or microsurgical approaches targeting cortical, brainstem, or spinal circuits; quantitative neuroanatomy and analysis of corticospinal projections and connectivity; whole-brain or whole-spinal-cord volumetric imaging; and computational integration of transcriptomic and neuroanatomical datasets. Strong written and verbal communication skills, a demonstrated publication record, and the ability to work both independently and collaboratively are expected.

Interested candidates should attach a brief statement of research interests and CV to requisition #26004639.