Biotechnology research scientist - genomics

Role Overview Mercor 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.
Key Responsibilities Review and evaluate AI-generated outputs related to experimental design, genomic data analysis, protein characterization, and biotech research methodologies
Create realistic scenarios based on laboratory and research workflows — gene expression analysis, CRISPR experimental protocols, proteomics data interpretation, assay development, and preclinical research planning
Annotate, label, and validate data across biotech research use cases (e.g., sequencing pipeline accuracy, variant interpretation, pathway analysis, molecular target identification)
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
Collaborate asynchronously with research teams to refine evaluation frameworks for biotechnology research AI
Ideal Qualifications 3+ years of professional or postdoctoral research experience in biotechnology, genomics, proteomics, or molecular biology
Background in one or more areas such as: Genomics and next-generation sequencing (NGS) — library prep, variant calling, bioinformatics pipelines
Proteomics — mass spectrometry, protein expression, structural biology
Molecular biology — cloning, gene editing (CRISPR/Cas9), PCR, cell culture
Drug discovery or target identification (lead optimization, HTS, biomarker development)
Bioinformatics or computational biology supporting wet-lab research

Advanced degree (MS, PhD) in a relevant life sciences field strongly preferred
Professional experience at a biotech company, CRO, academic research lab, or pharmaceutical R&D organization
Strong analytical thinking and ability to translate complex research workflows into structured evaluation tasks
Clear written communication and attention to detail
Compensation Note Task Completion Pay: Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves)
Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate!
Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.

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