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Remote Xai Jobs (NOW HIRING)

SpaceX

Accountant, Revenue

Palo Alto, CA · On-site +1

$110K - $155K/yr

ACCOUNTANT, REVENUE xAI was established with a mission to accelerate human scientific discovery. We ... This position is based in Palo Alto, CA, and requires being onsite - remote and hybrid work is not ...

Alinia AI

Applied AI Research Intern

Experience with explainable AI (XAI). Why Join Alinia? * Cutting-edge tech: Work on one of the most important challenges in AI--alignment, safety, and trust * Flexible work: Hybrid or remote work ...

Socket

Tech Partnerships Lead

San Francisco, CA · Remote

Our customers - from Anthropic to xAI, and Figma to Vercel - love Socket (just check out their ... Remote-first, with quarterly team off-sites At Socket, we * Pursue Excellence: We set ourselves ...

Walmart

Staff, Data Scientist (Pricing)

Sunnyvale, CA · On-site +1

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... Practical experience with Explainable AI (XAI) and communicating complex modelreasoning to non ...

Socket

Tech Partnerships Lead

Our customers - from Anthropic to xAI, and Figma to Vercel - love Socket (just check out their ... Remote-first, with quarterly team off-sites At Socket, we * Pursue Excellence: We set ourselves ...

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Remote XAI roles typically allow employees to work from home or other remote locations, depending on the company's policies. These positions often require proficiency with remote collaboration tools and may have flexible schedules. However, specific remote work policies can vary by employer and role requirements.
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Infographic showing various Remote Xai job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 11 hours 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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