[Hiring] AI Safety & Evaluation Specialist @YO AI Labs

Role Description

We are seeking experienced Computational Biology and Bioinformatics Experts to contribute their scientific expertise to the development and evaluation of next-generation AI systems. In this role, you will apply your knowledge of computational biology, genomics, and bioinformatics to assess complex scientific workflows, analyze biological datasets, and evaluate AI-generated outputs. Your contributions will help improve the accuracy, reliability, and scientific reasoning capabilities of AI systems.

• Design, evaluate, and critique bioinformatics and computational biology workflows for AI benchmarking initiatives.
• Provide expert insights into genomic, transcriptomic, and proteomic data analysis pipelines.
• Assess and optimize pipeline parameters, software configurations, and statistical methods to ensure accuracy and reproducibility.
• Analyze biological datasets, including NGS, RNA-seq, variant analysis, and protein structure data, and provide actionable recommendations.
• Apply domain expertise to support the development and validation of biology-focused AI models and tools.
• Communicate complex scientific concepts clearly to technical and non-technical collaborators, both verbally and in writing.
• Document research findings, methodologies, and best practices to support knowledge sharing and collaboration.

Qualifications

• PhD in Bioinformatics, Computational Biology, Genomics, or a closely related field, or equivalent industry or research experience.
• Professional written and spoken English proficiency (C1 level or higher).
• Hands-on experience analyzing biological datasets, such as NGS, RNA-seq, and genomic variant data.
• Proficiency in Python and/or R for scientific analysis.
• Experience with standard bioinformatics tools such as BLAST, Samtools, GATK, Bioconductor, or Biopython.
• Experience developing reproducible workflows using tools such as Nextflow or Snakemake.
• Familiarity with Linux and command-line environments.
• Strong statistical, quantitative, and analytical reasoning skills.
• Excellent written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
• Demonstrated ability to solve complex scientific problems in specialized biological domains.

Preferred Qualifications

• Experience with AI/ML-assisted biology workflows or benchmarking initiatives.
• Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.
• Background in single-cell analysis, structural biology, proteomics, or drug discovery.