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Remote Teen Computer Science Jobs in California (NOW HIRING)

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CAD Graphics Engine Software Engineer

Los Angeles, CA · On-site +1

$145K - $195K/yr

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and ... B.S. in Computer Science or a related field, or equivalent professional experience * Proficiency ...

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · On-site +1

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Bachelor's degree in Computer Science, Information Security, or related field, or equivalent ...

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · Remote

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Bachelor's degree in Computer Science, Information Security, or related field, or equivalent ...

ZipRecruiter

Decision Scientist II, Mobile

Santa Monica, CA · On-site +1

$130K - $155K/yr

Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

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All JobsTeen Computer Science JobsRemote Teen Computer Science JobsRemote Teen Computer Science Jobs in California

Remote Teen Computer Science information

What is a remote teen computer science job?

Remote teen computer science jobs are work opportunities in the technology field that can be performed online by teenagers, typically aged 13 to 19. These jobs may include roles like coding internships, web development, software testing, or tech support, allowing teens to gain practical experience and earn money from home. Such positions often require basic programming knowledge, strong problem-solving skills, and the ability to work independently. Remote jobs help teens build their resumes and explore potential career paths in computer science before entering college or the workforce.

What skills and qualifications are needed to thrive as a remote teen computer science instructor?

To thrive as a Remote Teen Computer Science Instructor, you need a solid background in computer science fundamentals and programming, often supported by a degree or relevant teaching experience. Familiarity with online learning platforms, coding environments such as Python or Java, and virtual collaboration tools is typically required. Strong communication, patience, and the ability to engage and motivate teenagers are essential soft skills for success in this teaching role. These skills ensure effective knowledge transfer, foster student engagement, and help create a positive remote learning environment for teens.

What are common challenges faced by remote teen computer science instructors and how can they be addressed?

Remote teen computer science instructors often encounter challenges such as keeping students engaged in a virtual environment, managing diverse skill levels, and facilitating hands-on coding practice remotely. Effective strategies include using interactive tools, incorporating collaborative projects, and providing clear, structured lesson plans. Building a supportive online community and offering regular feedback also help maintain motivation and participation among young learners.

What is the difference between Remote Teen Computer Science vs Remote Teen Web Development?

AspectRemote Teen Computer ScienceRemote Teen Web Development
Required SkillsProgramming fundamentals, algorithms, problem-solvingHTML, CSS, JavaScript, basic design
CertificationsNone typically required, but coding courses helpfulNone typically required, but coding bootcamps beneficial
Work EnvironmentOnline learning platforms, coding projectsWebsite projects, client work, personal portfolios
Industry UsageEducation, tech startups, software companiesDigital agencies, freelance work, startups

Remote Teen Computer Science focuses on foundational programming skills and problem-solving, suitable for various tech roles. Remote Teen Web Development emphasizes building websites and user interfaces, often involving design and front-end skills. Both roles are ideal for teens interested in tech, but they differ in technical focus and project types.

Can I work remotely with a computer science degree?

Yes, a computer science degree can qualify you for remote work opportunities in software development, programming, data analysis, and other tech roles. Many companies offer remote positions that require skills in coding languages, problem-solving, and familiarity with collaboration tools like Git and Slack.

What are the most commonly searched types of Teen Computer Science jobs in California?

The most popular types of Teen Computer Science jobs in California are:

What are popular job titles related to Remote Teen Computer Science jobs in California?

For Remote Teen Computer Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Teen Computer Science jobs in California look for?

The top searched job categories for Remote Teen Computer Science jobs in California are:

What cities in California are hiring for Remote Teen Computer Science jobs?

Cities in California with the most Remote Teen Computer Science job openings:

Remote Teen Computer Science jobs near you
Infographic showing various Remote Teen Computer Science job openings in California as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Junior Computational Biologist (Remote)

South San Francisco, CA • On-site, Remote

Astrix Inc
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Astrix Incexternal

$30 - $34/hr

Full-time

Re-posted 28 days ago

Job description

Pay Rate Low: 30 | Pay Rate High: 34
A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are quantified and validated!
Title: Jr. Computational Biologist (Remote Contract)
Location: Remote (Must be available during PST business hours)
Compensation: $30-34/hour + benefits
Contract Duration: 6-12+ months
Job Duties:
This project will focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets.
The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks.
Start Date: July 1, 2026
  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote within the U.S. considered (must work PST hours)
  • Visa Sponsorship: Not availabl

Key Responsibilities
  • Systematically evaluate and benchmark computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification methods.
  • Develop or refine computational methods to address limitations in current approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications
  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas.
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy.
  • Demonstrated commitment to reproducible research practices and well-organized code.
  • Ability to clearly communicate complex computational concepts to interdisciplinary scientific teams.
  • Master's degree with ongoing PhD pursuit, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or related quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications
  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (XAI) approaches or large-scale biological datasets.
  • Demonstrated ability to build or extend novel bioinformatics pipelines.
    INDBH
    #LI-MG1

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