Computational Biology & Bioinformatics Expert (PhD)

Job Title: Computational Biology & Bioinformatics Expert (PhD) 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 bioinformatics and computational biology workflows to support AI benchmarking initiatives. - Provide expert-level insights on genomic, transcriptomic, and proteomic 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, 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. Required Skills and Qualifications: - PhD in bioinformatics, computational biology, genomics, or a closely related field, or equivalent industry/research experience. - Professional written and spoken English (C1 or higher). - Hands-on experience analyzing biological data (e.g., NGS, RNA-seq, variant analysis). - Proficiency in Python and/or R for scientific analysis, plus experience with standard bioinformatics tools (e.g., BLAST, samtools, GATK, Bioconductor, Biopython). - Experience building reproducible workflows with tools such as Nextflow or Snakemake, and comfort working in Linux/command-line environments. - Strong statistical, quantitative, and analytical reasoning skills. - Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts. - Track record of rigorous scientific problem-solving in complex biological domains. Preferred Qualifications: - Experience with AI/ML-assisted biology workflows or benchmarking. - Peer-reviewed publications, patents, or contributions to open-source bioinformatics software. - Background in single-cell analysis, structural biology, proteomics, or drug discovery. - prediction/retrosynthesis.