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Biology Research Scientist - AI Evaluation & Improvement

synthires United State
Remote
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AI Summary

Evaluate AI-generated biological content, improve AI model performance. Remote, contract role. $70-$90/hour.

Key Highlights
Expert in molecular biology, cell biology, genetics
Evaluate AI outputs for accuracy and scientific reasoning
Collaborate with interdisciplinary teams to improve AI models
Key Responsibilities
Conduct and evaluate biological research across disciplines
Review and assess AI-generated scientific content
Analyze DNA/RNA sequences, gene expression data, molecular pathways
Translate complex biological concepts into clear documentation for AI training
Collaborate with interdisciplinary teams to maintain scientific quality and accuracy
Apply structured evaluation frameworks and scientific judgment to improve AI model performance
Technical Skills Required
Molecular Biology Cell Biology Genetics Biological Data Analysis
Benefits & Perks
Competitive compensation of $70–$90/hour
Weekly payments
Independent contractor engagement
Nice to Have
Experience with genomics, bioinformatics, CRISPR, synthetic biology, or biotechnology research
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

Job Description


Biology Research Scientist


Position: Biology Research Scientist


Type: Contract


Compensation: $70–$90/hour


Location: Remote


About the Opportunity


This opportunity is for experienced Biology Research Scientists with expertise in molecular biology, cell biology, genetics, experimental research, and biological data analysis 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 scientific research experience and subject matter expertise are the primary qualifications for success in this role. Professionals with backgrounds in molecular biology, genetics, biotechnology, genomics, or laboratory research are especially encouraged to apply.

Responsibilities

  • Conduct and evaluate biological research across disciplines including molecular biology, cell biology, genetics, and biotechnology.
  • Review and assess AI-generated scientific content for technical accuracy, completeness, and scientific reasoning.
  • Apply expertise in experimental design, laboratory techniques, biological data interpretation, and research methodologies.
  • Analyze DNA/RNA sequences, gene expression data, molecular pathways, and cellular processes.
  • Interpret scientific literature and translate complex biological concepts into clear, structured documentation for AI training and evaluation.
  • Collaborate with interdisciplinary teams to maintain scientific quality, consistency, and accuracy.
  • Apply structured evaluation frameworks and scientific judgment to improve AI model performance.

Required Qualifications

  • Bachelor's degree or higher in Biology, Molecular Biology, Cell Biology, Genetics, Biotechnology, Biochemistry, or a related Life Sciences discipline.
  • Strong background in biological research methods, laboratory techniques, and experimental design.
  • Experience analyzing molecular, cellular, genetic, or biological datasets.
  • 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 Biology, Molecular Biology, Genetics, Biotechnology, Biochemistry, or a related field.
  • Experience with genomics, bioinformatics, CRISPR, synthetic biology, or biotechnology research.
  • 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


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