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Remote Scientific Reviewer Jobs in California (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... In this role, you will review, evaluate, and refine AI-generated technical and analytical content ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... In this role, you will review, evaluate, and refine AI-generated technical and analytical content ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... In this role, you will review, evaluate, and refine AI-generated technical and analytical content ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... In this role, you will review, evaluate, and refine AI-generated technical and analytical content ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... In this role, you will evaluate, review, and refine AI-generated business content, helping enhance ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... In this role, you will evaluate, review, and refine AI-generated business content, helping enhance ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... In this role, you will evaluate, review, and refine AI-generated business content, helping enhance ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... In this role, you will evaluate, review, and refine AI-generated business content, helping enhance ...

Director, Scientific Affairs

San Francisco, CA · On-site +1

$200K - $275K/yr

... remote work day * Qualified candidates must be legally authorized to be employed in the United ... Serve as medical reviewer on the Promotional Review Committee and ensure scientific accuracy and ...

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... review, and evaluate clinical and regulatory documents while ensuring scientific accuracy ...

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Remote Scientific Reviewer information

What is a remote scientific reviewer?

A Remote Scientific Reviewer is a professional who evaluates scientific manuscripts, research proposals, or grant applications from a remote location, typically for academic journals, funding agencies, or research organizations. Their main role is to assess the quality, accuracy, and originality of scientific work to ensure it meets established standards before publication or funding. Remote Scientific Reviewers use their subject matter expertise to provide constructive feedback and recommendations for improvement. This job allows for flexible work arrangements and often requires strong analytical, writing, and communication skills.

How does a remote scientific reviewer typically collaborate with research teams and authors during the review process?

As a Remote Scientific Reviewer, you will primarily interact with research teams and authors via digital platforms, such as email and manuscript submission systems. Communication is often asynchronous, allowing you to provide detailed feedback, request clarifications, and discuss revisions with authors from anywhere in the world. You may also coordinate with editorial teams and other reviewers to ensure consistency in evaluations and uphold publication standards. While direct meetings are rare, clear and constructive written communication is essential for effective collaboration in this remote role.

What are the key skills and qualifications needed to thrive as a remote scientific reviewer, and why are they important?

To thrive as a Remote Scientific Reviewer, you need an advanced degree in a relevant scientific discipline, strong analytical abilities, and expertise in scientific writing and research evaluation. Familiarity with manuscript submission systems, reference management software, and peer review platforms is typically required. Attention to detail, impartial judgment, and clear communication are crucial soft skills for providing constructive feedback and maintaining objectivity. These skills ensure the integrity and quality of scientific publications, supporting the advancement of research within the field.

What cities in California are hiring for Remote Scientific Reviewer jobs?

Cities in California with the most Remote Scientific Reviewer job openings:

Infographic showing various Remote Scientific Reviewer job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 9 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