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Temporary Remote Computer Science Jobs in Mountain View, CA

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

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Temporary Remote Computer Science information

What is a temporary remote computer science job?

Temporary Remote Computer Science jobs are short-term positions in the field of computer science that can be performed from any location with internet access. These roles may include software development, data analysis, technical support, or research, and are often project-based or meant to cover a specific time period such as a contract or internship. They are ideal for individuals seeking flexibility or those looking to gain experience without a long-term commitment. Employers benefit by quickly filling skill gaps for specific projects without the need for onsite presence.

What are the key skills and qualifications needed to thrive as a temporary remote computer science professional?

To thrive as a Temporary Remote Computer Science professional, you need strong proficiency in programming languages (such as Python, Java, or C++), problem-solving abilities, and a relevant degree or coursework in computer science. Familiarity with collaboration tools (like Git, Jira, and Slack), cloud platforms, and sometimes certifications (such as AWS Certified Developer or CompTIA IT Fundamentals) is often required. Excellent time management, self-motivation, and clear communication skills are crucial for remote collaboration and meeting project deadlines. These skills and qualities are essential for delivering quality work independently, staying organized, and contributing effectively to distributed teams.

What are some common challenges faced when working as a temporary remote computer science professional, and how can they be managed?

Temporary remote computer science professionals often encounter challenges such as onboarding quickly to new teams, adapting to varying project requirements, and managing effective communication in a virtual environment. To succeed, it's important to proactively establish clear communication with supervisors, utilize collaboration tools, and seek out documentation or mentorship early on. Staying organized, being adaptable, and asking clarifying questions can help you integrate smoothly and deliver results, even on short-term assignments.

What are popular job titles related to Temporary Remote Computer Science jobs in Mountain View, CA?

For Temporary Remote Computer Science jobs in Mountain View, CA, the most frequently searched job titles are:

What job categories do people searching Temporary Remote Computer Science jobs in Mountain View, CA look for?

The top searched job categories for Temporary Remote Computer Science jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Temporary Remote Computer Science jobs?

Cities near Mountain View, CA with the most Temporary Remote Computer Science job openings:

Infographic showing various Temporary Remote Computer Science job openings in Mountain View, CA as of August 2026, with employment types broken down into 58% Full Time, 18% Part Time, 18% Temporary, and 6% Contract. Highlights an 100% Remote job distribution.

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Re-posted 3 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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