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Remote Computer Science Jobs in San Mateo, CA (NOW HIRING)

GitHub

Principal Engineering Manager

San Francisco, CA · On-site +1

$159.10K - $213.20K/yr

OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math ... We're remote-first and offer competitive pay, generous learning and growth opportunities, and ...

Apex Systems

Data Scientist

Pleasanton, CA · Remote

Location: Fully remote anywhere in the United States. Employment Type: 6 month contract with ... Master's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related ...

GitHub

Principal Software Engineer

San Francisco, CA · On-site +1

$159.10K - $213.20K/yr

OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math ... We're remote-first and offer competitive pay, generous learning and growth opportunities, and ...

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Apogee Global RMS

Senior Data Scientist

San Jose, CA · Remote

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

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Remote Computer Science information

See San Mateo, CA salary details

$25.9K

$99K

$216.1K

How much do remote computer science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote computer science in San Mateo, CA is $99,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,985.00 and $141,768.00 per year, depending on experience, location, and employer.

What Are Remote Computer Science Jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

What are the key skills and qualifications needed to thrive as a Remote Computer Science professional, and why are they important?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.
More about Remote Computer Science jobs
What are the most commonly searched types of Computer Science jobs in San Mateo, CA? The most popular types of Computer Science jobs in San Mateo, CA are:
What job categories do people searching Remote Computer Science jobs in San Mateo, CA look for? The top searched job categories for Remote Computer Science jobs in San Mateo, CA are:
What cities near San Mateo, CA are hiring for Remote Computer Science jobs? Cities near San Mateo, CA with the most Remote Computer Science job openings:
Remote Computer Science jobs near you
Junior Computational Biologist (Remote)

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Posted 14 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.
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