Biotechnology Research Expert

**Role Overview**\\n\\nour client is partnering with leading AI labs to engage experienced biotechnology research scientists, molecular biologists, genomicists, proteomics specialists, and biotech R&D professionals, to improve AI systems' reasoning around biological research methodologies, data interpretation, and experimental design. Contributors will apply their expertise in areas such as next-generation sequencing, protein structure and function, molecular cloning, and drug discovery research to evaluate and enhance AI performance on biotechnology research-specific tasks. This is a project-based opportunity with potential for ongoing engagement depending on performance and project needs.\\n\\n**Key Responsibilities**\\n\\n- Review and evaluate AI-generated outputs related to experimental design, genomic data analysis, protein characterization, and biotech research methodologies\\n \\n- Create realistic scenarios based on laboratory and research workflows, gene expression analysis, CRISPR experimental protocols, proteomics data interpretation, assay development, and preclinical research planning\\n \\n- Annotate, label, and validate data across biotech research use cases (e.g., sequencing pipeline accuracy, variant interpretation, pathway analysis, molecular target identification)\\n \\n- Provide structured feedback on AI accuracy in areas such as molecular biology techniques, genomics and proteomics standards, regulatory guidelines for research (GLP, IRB requirements), and scientific literature interpretation\\n \\n- Collaborate asynchronously with research teams to refine evaluation frameworks for biotechnology research AI\\n \\n\\n**Ideal Qualifications**\\n\\n- 3+ years of professional or postdoctoral research experience in biotechnology, genomics, proteomics, or molecular biology\\n \\n- Background in one or more areas such as:\\n \\n - Genomics and next-generation sequencing (NGS), library prep, variant calling, bioinformatics pipelines\\n \\n - Proteomics, mass spectrometry, protein expression, structural biology\\n \\n - Molecular biology, cloning, gene editing (CRISPR/Cas9), PCR, cell culture\\n \\n - Drug discovery or target identification (lead optimization, HTS, biomarker development)\\n \\n - Bioinformatics or computational biology supporting wet-lab research\\n \\n- Advanced degree (MS, PhD) in a relevant life sciences field strongly preferred\\n \\n- Professional experience at a biotech company, CRO, academic research lab, or pharmaceutical R&D organization\\n \\n- Strong analytical thinking and ability to translate complex research workflows into structured evaluation tasks\\n \\n- Clear written communication and attention to detail\\n \\n\\n**Compensation Note**\\n\\n- **Task Completion Pay:** Competitive and based on task quality (~$1,150, $1,450 per completed task, subject to change as the project evolves)\\n \\n- **Performance Bonus:** Top performers receive a weekly bonus incentive on top of their per task rate!\\n \\n- **Hourly Opportunity:** Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.