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Remote Junior Computer Engineer Jobs in California

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ... Remote-based with potential for hybrid work arrangements. * Full-time position with standard ...

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Mentor junior engineers and provide guidance on GPU-related topics and performance optimization ... Bachelor's degree in Computer Science, Computer Engineering, or a related field; Master's or PhD ...

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Remote Junior Computer Engineer information

What is the difference between Remote Junior Computer Engineer vs Remote Software Developer?

AspectRemote Junior Computer EngineerRemote Software Developer
Required CredentialsAssociate's or Bachelor's in Computer Engineering or related fieldBachelor's in Computer Science or Software Engineering
Work EnvironmentHardware and software troubleshooting, system setup, network supportApplication development, coding, software testing
Industry UsageIT services, hardware companies, tech supportTech companies, startups, software firms
Common Search IntentEntry-level hardware/software support rolesEntry-level coding and application development roles

Remote Junior Computer Engineers typically focus on hardware, system setup, and troubleshooting, while Remote Software Developers concentrate on coding and software creation. Both roles are entry-level, often requiring related degrees, but they serve different technical needs within the tech industry.

What cities in California are hiring for Remote Junior Computer Engineer jobs? Cities in California with the most Remote Junior Computer Engineer job openings:
Junior Computational Biologist (Remote)

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 26 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
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