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Remote Computer Science Teaching Jobs in San Jose, CA

Chess

Adjunct Instructor of Fire Science

San Jose, CA · On-site +1

$27.87 - $42.41/hr

The primary duty is effective teaching of college-level courses and/or labs in the qualified ... Remote work options for locations outside of the United States are not permitted. Adjunct faculty ...

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Remote Computer Science Teaching information

See San Jose, CA salary details

$42.8K

$76.7K

$142.4K

How much do remote computer science teaching jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote computer science teaching in San Jose, CA is $76,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $81,500.00 per year, depending on experience, location, and employer.

What is remote computer science teaching?

A Remote Computer Science Teaching job involves instructing students in computer science topics through online platforms. Teachers may create lesson plans, deliver lectures, assign and grade coursework, and provide support to students virtually. This role can be found in schools, universities, coding bootcamps, or private tutoring. Strong communication skills, technical expertise, and proficiency with online teaching tools are essential.

What are the key skills and qualifications needed for remote computer science teaching?

To thrive as a Remote Computer Science Teacher, you need a deep understanding of programming languages, algorithms, and pedagogy, typically supported by a degree in computer science or a related field and teaching credentials. Familiarity with online learning platforms such as Zoom, Google Classroom, and course management systems, along with certifications like CompTIA or teaching licenses, is beneficial. Exceptional communication, patience, and organizational skills help engage students and facilitate effective online instruction. These skills ensure quality virtual education, student engagement, and the ability to adapt to diverse learning needs in a remote environment.

What are some common challenges faced in remote computer science teaching, and how can they be addressed?

Remote computer science teaching often presents challenges such as maintaining student engagement, ensuring academic integrity, and managing varied technical skill levels. Instructors can address these by incorporating interactive lessons, using real-time coding platforms for hands-on practice, and offering frequent virtual office hours for student support. Additionally, clear communication of expectations and leveraging collaborative tools like shared documents or discussion boards can foster a supportive online classroom environment. Embracing flexibility and continuous learning about new educational technologies also greatly contributes to a positive teaching and learning experience.

What are the most commonly searched types of Computer Science Teaching jobs in San Jose, CA?

The most popular types of Computer Science Teaching jobs in San Jose, CA are:

What are popular job titles related to Remote Computer Science Teaching jobs in San Jose, CA?

For Remote Computer Science Teaching jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Teaching jobs in San Jose, CA look for?

The top searched job categories for Remote Computer Science Teaching jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Remote Computer Science Teaching jobs?

Cities near San Jose, CA with the most Remote Computer Science Teaching job openings:

Remote Computer Science Teaching jobs near you
Infographic showing various Remote Computer Science Teaching job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $76,731 per year, or $36.9 per hour.

Computational Scientist (Functional Genomics) - Remote

South San Francisco, CA • On-site, Remote

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

$35 - $40/hr

Full-time, Contractor

Re-posted 9 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is an innovative biotechnology company seeking a Computational Scientist to support advanced research initiatives focused on analyzing large-scale single-cell perturbation datasets.
Title: Computational Scientist - Single-Cell Genomics & Perturbation Biology
Location: Remote (Must be open to working PST)
Schedule: Full-Time (40 hours/week)
Duration: 12-Month Contract (+Benefits)
Pay rate: $35-40/hr
In this role, you will leverage computational approaches to generate biological insights that accelerate target identification, drug discovery, and the development of next-generation therapeutics. This role will partner with cross-functional teams of computational scientists, biologists, and data scientists to generate biological insights from high-content sequencing data while contributing to scalable computational pipelines and best practices.
Key Responsibilities
  • Analyze large-scale perturbation sequencing datasets (e.g., Perturb-seq, CROP-seq, multi-condition single-cell RNA-seq).
  • Develop and apply computational methods to generate insights that support early-stage therapeutic research.
  • Collaborate with interdisciplinary teams across computational biology, biology, chemistry, and data science.
  • Contribute to software, analysis pipelines, and workflow improvements for large-scale genomic data analysis.
  • Present findings and communicate complex analyses to technical and non-technical stakeholders.

Qualifications
  • Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related quantitative life science field.
  • 1-3+ years of relevant industry or postdoctoral experience.
  • Hands-on experience analyzing Perturb-seq, CROP-seq, SciPlex, or other multi-condition single-cell RNA-seq datasets.
  • Strong programming skills in Python and/or R.
  • Experience working in HPC environments (SLURM, AWS, SGE, or similar).
  • Must be authorized to work in the United States without sponsorship.
  • Knowledge of workflow management tools such as Nextflow or Snakemake is preferred.
  • Strong software engineering fundamentals and experience with version control.
  • Excellent analytical, problem-solving, and communication skills.

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