Remote | Biologist — $70–$90/hour

We are sharing a specialised consulting opportunity for experienced Biologists with strong expertise in molecular biology, cell biology, CRISPR, wet-lab methods, cloning, genotyping, PCR-based assays, sequence design, and experimental workflow development to contribute to an advanced AI training and biological-science evaluation project.

Selected professionals will design and review molecular-biology workflows, evaluate gene-editing experiments, analyse biological data and cellular processes, and translate complex experimental information into structured formats for AI training. Strong hands-on laboratory experience and scientific rigour are central to the role. No prior experience in AI is required.

Key Responsibilities

Gene Editing & Molecular Workflow Design

• Design and evaluate CRISPR-based gene-editing experiments
• Review guide design, targeting logic, validation strategies, and experimental feasibility
• Develop cloning strategies, engineered constructs, and cell-line workflows
• Evaluate vector design, sequence architecture, and downstream validation
• Identify technical weaknesses or likely failure points in experimental plans

Genotyping, PCR & Screening

• Design or review genotyping and PCR-based validation strategies
• Assess assay design, controls, sequence confirmation, and interpretation
• Develop synthetic DNA/RNA sequences and molecular screening approaches
• Evaluate high-throughput screening workflows for accuracy and robustness
• Identify unsupported conclusions or inconsistencies in validation data

Cell Biology & Experimental Analysis

• Apply molecular and cellular biology principles to complex experimental questions
• Analyse cellular organisation, organelle function, and molecular-to-cellular effects
• Design and optimise wet-lab workflows with appropriate controls
• Evaluate reproducibility, variability, and troubleshooting approaches
• Review experimental results for scientific accuracy and biological plausibility

AI Evaluation & Documentation

• Review AI-generated biological content for scientific accuracy
• Identify errors, oversimplifications, or unsupported interpretations
• Translate experimental data into structured training and evaluation formats
• Document methods, results, and reasoning clearly
• Collaborate with interdisciplinary and remote teams

Ideal Profile

• Bachelor's degree or higher in Molecular Biology, Cell Biology, or a related discipline
• Strong expertise in CRISPR and gene-editing workflows
• Extensive hands-on wet-lab experience
• Demonstrated experience with cloning, construct development, genotyping, and PCR-based assays
• Familiarity with sequence design and molecular screening
• Strong understanding of molecular and cellular biology
• Experience optimising experimental workflows and interpreting biological data
• Strong attention to scientific detail, reproducibility, and data accuracy
• Excellent written and verbal communication
• Experience with AI evaluation, data annotation, rubric development, or interdisciplinary research is advantageous
• No prior AI-training or model-evaluation experience is required

Engagement Details

• Independent contractor engagement
• Fully remote
• Compensation: $70–$90/hour
• Work will involve CRISPR, gene editing, cloning, genotyping, PCR assays, sequence design, molecular screening, cell biology, wet-lab experimental design, and AI-generated scientific-content evaluation
• Assignments may involve experimental protocols, gene-editing scenarios, molecular and cellular datasets, screening workflows, and structured biological evaluation tasks
• Project scope, workload, biological topics, and evaluation standards may evolve depending on project requirements
• Work must be completed without using confidential, proprietary, or identifiable biological information belonging to any employer, client, laboratory, research institution, collaborator, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy