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Rna Extraction Jobs in California (NOW HIRING)

Showing results 21-40

Rna Extraction information

What is the difference between Rna Extraction vs Rna Sequencing?

AspectRna ExtractionRna Sequencing
Primary FocusIsolating RNA from biological samplesAnalyzing RNA sequences to study gene expression
Work EnvironmentLaboratories performing sample prepLaboratories conducting sequencing and data analysis
Required SkillsSample handling, RNA isolation techniquesLibrary preparation, sequencing technology, bioinformatics
Industry UsageResearch, diagnostics, biotechGenomics, transcriptomics, research institutions

Rna Extraction involves isolating RNA from samples, a crucial step before downstream analysis. Rna Sequencing builds on this by sequencing the extracted RNA to analyze gene expression patterns. Both roles are essential in molecular biology labs but focus on different stages of RNA analysis.

What are popular job titles related to Rna Extraction jobs in California? For Rna Extraction jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Rna Extraction jobs? Cities in California with the most Rna Extraction job openings:
Infographic showing various Rna Extraction job openings in California as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, 2% Temporary, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Molecular Biologist (Remote | $80 -$110/hr

Synthires

San Jose, CA • On-site

$70 - $90/hr

Other

Posted yesterday

New


Job description

Molecular Biologist


Position: Molecular Biologist


Type: Contract


Compensation: $70–$90/hour


Location: Remote


About the Opportunity :


This opportunity is for experienced Molecular Biologists with expertise in molecular biology, genetics, gene editing, DNA/RNA analysis, and laboratory research to contribute to advanced AI research and evaluation projects. You'll apply your scientific expertise to evaluate expert-level biological content, assess AI-generated outputs, and help improve the accuracy, reasoning, and performance of next-generation AI systems.

No prior AI experience is required. Your molecular biology expertise and research experience are the primary qualifications for success in this role. Professionals with hands-on experience in CRISPR, PCR, cloning, sequencing, genomics, and molecular diagnostics are especially encouraged to apply.


Responsibilities

  • Conduct and evaluate molecular biology research involving DNA, RNA, proteins, and gene expression.
  • Review and assess AI-generated scientific content for technical accuracy, completeness, and scientific reasoning.
  • Apply expertise in PCR, qPCR, cloning, sequencing, CRISPR gene editing, genotyping, and molecular assays.
  • Analyze DNA/RNA sequences, molecular pathways, genetic variation, and cellular mechanisms.
  • Design, interpret, and evaluate molecular biology experiments and laboratory workflows.
  • Translate complex molecular biology concepts into clear, structured documentation for AI training and evaluation.
  • Collaborate with interdisciplinary teams to ensure scientific accuracy, consistency, and data quality.
  • Apply structured evaluation frameworks and scientific judgment to improve AI model performance.
  • Required Qualifications

    • Bachelor's degree or higher in Molecular Biology, Genetics, Biotechnology, Cell Biology, Biochemistry, or a related Life Sciences discipline.
    • Strong hands-on experience with molecular biology techniques, PCR, DNA/RNA extraction, cloning, sequencing, and gene expression analysis.
    • Experience working in laboratory or wet lab research environments.
    • Excellent scientific reasoning, analytical thinking, and problem-solving skills.
    • Strong written and verbal communication skills with exceptional attention to scientific detail.
    • Ability to work independently in a fully remote environment.
  • Preferred Qualifications

    • Master's degree or PhD in Molecular Biology, Genetics, Biotechnology, Biochemistry, or a related field.
    • Experience with CRISPR, genomics, transcriptomics, bioinformatics, synthetic biology, or molecular diagnostics.
    • Familiarity with AI, machine learning, scientific data annotation, or AI model evaluation.
    • Experience developing scientific evaluation frameworks, quality assurance processes, or research review standards.
    • Experience collaborating with cross-functional or remote research teams.


    Compensation

    • Competitive compensation of $70–$90/hour.
    • Weekly payments.
    • Independent contractor engagement.


    Application Process

    1. Easy Apply on LinkedIn
    2. Check Email for Next Steps
    3. Participate in Resume Evaluation & Interview Stage