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Remote December Jobs in California (NOW HIRING)

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Remote December information

What is the difference between Remote December vs Remote Customer Service Representative?

AspectRemote DecemberRemote Customer Service Representative
Required CredentialsHigh school diploma or equivalent; some roles may require specific certificationsHigh school diploma or equivalent; customer service certifications optional
Work EnvironmentRemote, flexible schedule, project-based or seasonal workRemote, full-time or part-time, ongoing customer support
Industry UsageSeasonal or project-based roles, often in retail or logisticsCustomer service across various industries like retail, tech, healthcare
Search & Comparison IntentLooking for seasonal or temporary remote work in DecemberSeeking ongoing remote customer support roles

Remote December typically refers to seasonal or temporary remote jobs available in December, often in retail or logistics. Remote Customer Service Representative roles are ongoing positions providing customer support across industries. While both are remote, Remote December jobs are usually short-term and seasonal, whereas Remote Customer Service Representatives often have year-round responsibilities.

What are the most commonly searched types of December jobs in California? The most popular types of December jobs in California are:
What are popular job titles related to Remote December jobs in California? For Remote December jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote December jobs in California look for? The top searched job categories for Remote December jobs in California are:
What cities in California are hiring for Remote December jobs? Cities in California with the most Remote December job openings:
Remote December 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 24 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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