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Python Intern Jobs in Burbank, CA (NOW HIRING)

The intern focused on Loyalty will support analysis, product marketing initiatives, process ... Familiarity with tools such as Microsoft Office, Excel, or basic programming languages (Python ...

Software Engineer Intern

Los Angeles, CA · On-site

$46.15 - $50.71/hr

Proficiency in one or more programming languages (Python, TypeScript, Go, or similar) * Familiarity ... An intern's hourly rate within this range will be based on several factors, including, but not ...

The intern will be engaged across data engineering, AI, documentation, and Power BI report ... Python, Spark , or similar scripting language. * Some familiarity with tools like Power BI , Excel ...

AI Automation Intern Founding AI Team Reporting Directly to Partner If you want to move fast, ship ... Proficiency in Python and/or JavaScript -- you don't need to be a systems engineer, but you need to ...

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How much do python intern jobs pay per hour?

As of May 29, 2026, the average hourly pay for python intern in Burbank, CA is $40.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.74 and $63.94 per hour, depending on experience, location, and employer.

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

To thrive as a Python Intern, you need a solid understanding of Python programming fundamentals, problem-solving ability, and typically a background in computer science or related coursework. Familiarity with version control systems like Git, basic knowledge of frameworks such as Django or Flask, and experience using code editors or IDEs are common technical requirements. Initiative, willingness to learn, and effective communication help interns stand out by enabling collaboration and adaptability in team environments. These skills ensure that interns can contribute effectively to projects, learn quickly, and integrate smoothly into professional development workflows.

What types of projects can a Python Intern expect to work on during their internship?

As a Python Intern, you will typically be involved in supporting ongoing development projects, such as building automation scripts, data analysis tools, or assisting with backend web development. Interns often collaborate with software engineers, data scientists, or QA teams to contribute code, debug issues, and participate in code reviews. The scope of projects may vary by company, but most internships provide hands-on experience with real codebases, exposure to version control systems like Git, and opportunities to learn best practices from experienced mentors.

What does a Python Intern do?

A Python Intern typically assists in developing, testing, and maintaining software applications using the Python programming language. They may work on tasks such as writing scripts, debugging code, automating processes, and collaborating with team members on various projects. Interns often gain hands-on experience with frameworks, libraries, and tools commonly used in Python development. The role is designed to help them build practical skills and prepare for a full-time career in software engineering.

What is the difference between Python Intern vs Python Developer?

AspectPython InternPython Developer
Required CredentialsTypically pursuing or recently completed a degree in computer science or related fieldProven experience, often with a degree or equivalent in computer science or related field
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time roles, independent project work, team collaboration
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Common Search & ComparisonEntry-level, learning, internship opportunitiesProfessional, full-time employment, career growth

The main difference between a Python Intern and a Python Developer lies in experience and responsibilities. Interns are usually students or recent graduates gaining initial exposure, working under supervision. Developers are experienced professionals responsible for designing, coding, and maintaining software solutions independently. Internships serve as a stepping stone toward becoming a full-fledged Python Developer.

What are the most commonly searched types of Python jobs in Burbank, CA? The most popular types of Python jobs in Burbank, CA are:
What cities near Burbank, CA are hiring for Python Intern jobs? Cities near Burbank, CA with the most Python Intern job openings:
Infographic showing various Python Intern job openings in Burbank, CA as of May 2026, with employment types broken down into 1% Internship, 89% Full Time, 9% Part Time, and 1% Temporary. Highlights an 83% Physical, 11% Hybrid, and 6% Remote job distribution, with an average salary of $85,010 per year, or $40.9 per hour.
Research Intern (Academic Credit)

Research Intern (Academic Credit)

Cedars Sinai

Los Angeles, CA • On-site

Other

Posted yesterday


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

35th of 989 rated hospitals


Job description

A systems neuroscience research laboratory within the Department of Biomedical Sciences and Center for Neural Science and Medicine is seeking an unpaid Research Intern for academic credit. This internship provides a structured, hands-on educational experience in systems neuroscience, computational neurophysiology, and neural data analysis. The role is designed to build proficiency in core analytical workflows used in the laboratory while fostering collaborative research and developing strong technical skills in both electrophysiology and EEG-based approaches.

The intern will support ongoing work in spike sorting of extracellular neurophysiology recordings and analysis of single-unit activity in rodent models of stroke recovery and sleep. The role will also contribute to characterization of neural modulation across the time course of motor recovery following stroke and development of proficiency in seizure detection through visual inspection of continuously recorded EEG data from ARX mutant animal subjects.

Role Activities & Timeline

Weeks 1-2: Onboarding & Foundational Training

  • Complete all required institutional trainings, including HealthStream, CITI, IACUC/BAR requirements, and laboratory safety orientation
  • Introduction to laboratory data infrastructure, including extracellular recording file formats, EEG data organization, and analysis software
  • Exposure to Python, Kilosort/Phy, and custom EEG review tools
  • Overview of rodent models of stroke recovery and sleep used in the laboratory
  • Introduction to ARX mutant animal subjects used in EEG seizure studies

Weeks 3-5: Spike Sorting Fundamentals

  • Learn principles of extracellular neurophysiology recording and theoretical basis of spike detection and clustering
  • Perform supervised spike sorting on existing recording datasets using automated pipeline tools
  • Participate in mentored manual curation using Phy
  • Apply quality control metrics, including isolation distance, L-ratio, and ISI violations, to evaluate and document single-unit yield across sessions

Weeks 6-9: Neural Modulation Analysis & EEG Seizure Detection

  • Assist with analysis of sorted single units to characterize firing rate modulation and neural dynamics across post-stroke motor recovery
  • Extend spike sorting and unit analysis to sleep session recordings to examine neural activity patterns during sleep and motor memory consolidation
  • Begin training in visual inspection of continuously recorded EEG data from ARX mutant animal subjects for seizure detection
  • Learn to identify ictal and interictal events in support of ongoing epilepsy research

Weeks 10-12: Independent Analysis & Project Completion

  • Conduct independent analysis activities with increasing autonomy under laboratory mentorship
  • Support ongoing experimental studies through computational and data analysis contributions
  • Summarize findings and participate in research discussions related to ongoing laboratory projects

Systems & Training Access

  • Microsoft Suite
  • HealthStream
  • CITI
  • IACUC/BAR training and compliance systems

Learning Outcomes
By the end of the internship, the intern will be able to:

  • Perform spike sorting to isolate single units from extracellular neurophysiology recordings
  • Apply quality control metrics to evaluate single-unit yield and data integrity
  • Conduct quantitative analyses of neural modulation in the context of stroke recovery and sleep
  • Detect and characterize seizure events through systematic visual inspection of EEG recordings
  • Support ongoing experimental studies with computational and data analysis skills
  • Develop foundational experience with neuroscience research workflows and electrophysiology analysis techniques

This role is designed to be 100% onsite, giving you the opportunity to collaborate closely with your team and immerse yourself in the energy of our workplace. Please note that hybrid or remote work options are NOT available for this position at this time.

Required Education & Experience

  • Must be 18 years of age or older.
  • Must have a HS Diploma or GED.
  • Must reside in the greater Los Angeles area or surrounding cities while conducting all activities related to the intern or visitor appointment.
  • INTERNS: Those participating for academic credit must receive academic credit for the duration of the internship.
  • VISITORS: Must be receiving funding from an eligible sponsoring institution (employer, educator, funder, etc.).

Preferred Qualifications

  • Current undergraduate or graduate student pursuing coursework in neuroscience, biomedical engineering, computer science, psychology, biology, or a related scientific field
  • Strong interest in systems neuroscience, computational neuroscience, electrophysiology, EEG analysis, or neural data analysis
  • Familiarity with Python, data analysis software, or computational workflows preferred
  • Interest in translational neuroscience research involving motor recovery, sleep, and epilepsy models
  • Strong analytical thinking and attention to detail
  • Ability to learn technical workflows and follow research protocols consistently
  • Strong organizational, documentation, and time management skills
  • Comfortable working collaboratively in a laboratory research environment
  • Ability to commit to a structured 10-12 week internship experience for academic credit

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