Negotiable
Undetermined
Undetermined
United Kingdom
Summary: The Biotechnology Research Expert role requires experienced professionals in biotechnology, molecular biology, and related fields to enhance AI performance on biotechnology research tasks. Responsibilities include evaluating AI outputs, creating realistic lab scenarios, and providing structured feedback on AI accuracy. Candidates should have a strong background in genomics, proteomics, and drug discovery, along with advanced degrees in relevant life sciences. Collaboration with research teams is essential for refining evaluation frameworks.
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 including gene expression analysis, CRISPR experimental protocols, and proteomics data interpretation.
- Annotate, label, and validate data across biotech research use cases.
- Provide structured feedback on AI accuracy in molecular biology techniques and scientific literature interpretation.
- Collaborate asynchronously with research teams to refine evaluation frameworks for biotechnology research AI.
Key Skills:
- 3+ years of professional or postdoctoral research experience in biotechnology, genomics, proteomics, or molecular biology.
- Background in genomics, proteomics, molecular biology, or drug discovery.
- 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.
Salary (Rate): £1,300.00 monthly
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Biotechnology Research Expert [$900-$1.3K one-time] Experienced biotechnology research scientists molecular biologists, genomicists, proteomics specialists, and biotech R&D professionals to 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 Role 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 Good Candidature 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