About this role
Job Type: Contractor
Location: Remote(Worldwide)
Job Summary: In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities
- Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
- Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
- Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
- Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
- Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
- Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
- Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.
Areas of Expertise (we welcome applicants from any of the following)
- Genomics & NGS analysis
- Transcriptomics & single-cell analysis
- Proteomics & structural biology
- Molecular & cell biology
- Systems biology & biological network analysis
- Drug discovery & computational pharmacology
- Biostatistics & machine learning applied to biology