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