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Remote Classification Analyst Jobs in San Jose, CA

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Senior Manager- AI Search Analytics

Sunnyvale, CA · On-site +1

$138K - $225K/yr

This role is based in either San Francisco, Sunnyvale, Mountain View, New York, Chicago or Remote ... classification, traffic quality assessment and business impact modeling where traditional analytics ...

TEKsystems

Content Marketing Manager

Menlo Park, CA · Remote

$60 - $70/hr

Fully Remote Employment Type: Contract About the Opportunity Our client is seeking a Content ... Analyze campaign performance and customer insights to recommend content optimizations. * Build ...

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

Evaluate and improve matching and classification models to map suppliers and products to buyer ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

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All JobsClassification Analyst JobsRemote Classification Analyst JobsRemote Classification Analyst Jobs in San Jose, CA

Remote Classification Analyst information

See San Jose, CA salary details

$36.3K

$85.9K

$152.4K

How much do remote classification analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote classification analyst in San Jose, CA is $85,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $102,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Remote Classification Analyst jobs in San Jose, CA?

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Remote Classification Analyst jobs near you
Infographic showing various Remote Classification Analyst job openings in San Jose, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $85,861 per year, or $41.3 per hour.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA

$30 - $34/hr

Full-time

Re-posted 22 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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