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Remote Validation Jobs in California (NOW HIRING)

Ra

Sales Manager - Remote Work

San Francisco, CA · Remote

$15K/mo

Remote work - 100% * Work Authorization: US Citizens / Green Card Qualifications Ideally we are ... Hold A valid drivers license and must be able to lift up to 60 lbs * Hate using of tobacco products

CrowdStrike

Renewals Specialist (Remote)

Sunnyvale, CA · Remote

$46/hr

Deliver validated renewal quotes to Partner/Customers 90-120 days in advance of expiration. * Consult our existing customers to deliver feedback to the Product teams on new feature requests and ...

YO AI Labs

SolidWorks Expert - Remote

Los Angeles, CA · Remote

$40 - $130/hr

Remote Job Overview We are seeking experienced SolidWorks Specialists to contribute their expertise ... Translate engineering requirements into structured CAD data suitable for AI learning and validation.

YO AI Labs

SolidWorks Expert - Remote

San Francisco, CA · Remote

$40 - $130/hr

Remote Job Overview We are seeking experienced SolidWorks Specialists to contribute their expertise ... Translate engineering requirements into structured CAD data suitable for AI learning and validation.

YO AI Labs

SolidWorks Expert - Remote

Palo Alto, CA · Remote

$40 - $130/hr

Remote Job Overview We are seeking experienced SolidWorks Specialists to contribute their expertise ... Translate engineering requirements into structured CAD data suitable for AI learning and validation.

YO AI Labs

SolidWorks Expert - Remote

San Jose, CA · Remote

$40 - $130/hr

Remote Job Overview We are seeking experienced SolidWorks Specialists to contribute their expertise ... Translate engineering requirements into structured CAD data suitable for AI learning and validation.

Ra

CPG Sales Manager - Remote Work

San Francisco, CA · Remote

Remote work - 100% * Work Authorization: US Citizens / Green Card Qualifications Ideally we are ... Hold A valid drivers license and must be able to lift up to 60 lbs * Hate using of tobacco products

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Remote Validation information

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$22

$51

$77

How much do remote validation jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote validation in California is $51.32, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $62.40 per hour, depending on experience, location, and employer.

What are common challenges faced in a remote validation role and how are they addressed?

One of the most common challenges in a Remote Validation position is ensuring thorough communication and documentation when coordinating with on-site teams and cross-functional colleagues. To overcome this, professionals in this role rely heavily on detailed reporting, frequent virtual meetings, and collaborative project management tools to maintain alignment and transparency. Adapting validation strategies to a remote environment also requires a strong understanding of digital validation tools and best practices for remote audits. Regular training and clear standard operating procedures can help keep validation processes efficient and compliant, even when working off-site.

What are the key skills and qualifications needed to thrive in remote validation?

To thrive in Remote Validation, you need a solid background in quality assurance, process validation, and regulatory compliance, often supported by a degree in engineering, life sciences, or a related field. Familiarity with validation protocols, statistical analysis software, and documentation systems like TrackWise is highly valuable, along with certifications such as Six Sigma or ASQ. Excellent attention to detail, strong communication skills, and the ability to work independently are critical soft skills. These competencies ensure rigorous validation processes, effective remote collaboration, and compliance with industry standards.

What is remote validation?

A Remote Validation job involves ensuring that systems, software, or processes meet specified requirements and function correctly, typically in regulated industries like pharmaceuticals, healthcare, or manufacturing. Professionals in this role conduct tests, analyze data, and document compliance, all while working remotely. They may validate software applications, equipment, or processes to meet regulatory standards such as FDA, ISO, or GMP guidelines. Strong attention to detail, knowledge of validation protocols, and proficiency with industry regulations are essential for success in this role.

What are the most commonly searched types of Validation jobs in California?

The most popular types of Validation jobs in California are:

What are popular job titles related to Remote Validation jobs in California?

For Remote Validation jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Validation jobs in California look for?

The top searched job categories for Remote Validation jobs in California are:

What cities in California are hiring for Remote Validation jobs?

Cities in California with the most Remote Validation job openings:

Remote Validation jobs near you
Infographic showing various Remote Validation job openings in California as of August 2026, with employment types broken down into 16% Internship, 49% Full Time, 11% Part Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,736 per year, or $51.3 per hour.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 4 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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