{"html":"<p><strong>Job Title:</strong> STEM Expert – Biology &amp; Bioinformatics (PhD)</p><p><strong>Job Type:</strong> Contractor</p><p><strong>Location:</strong> Remote(Worldwide)</p><p><strong>Job Summary:</strong> 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.</p><h4>Key Responsibilities</h4><ul><li>Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.</li><li>Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.</li><li>Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.</li><li>Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.</li><li>Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.</li><li>Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.</li><li>Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.</li></ul><h4>Areas of Expertise (we welcome applicants from any of the following)</h4><ul><li>Genomics &amp; NGS analysis</li><li>Transcriptomics &amp; single-cell analysis</li><li>Proteomics &amp; structural biology</li><li>Molecular &amp; cell biology</li><li>Systems biology &amp; biological network analysis</li><li>Drug discovery &amp; computational pharmacology</li><li>Biostatistics &amp; machine learning applied to biology</li></ul><h4>Required Skills and Qualifications</h4><ul><li>PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.</li><li>Professional written and spoken English (C1 or higher).</li><li>Deep expertise in at least one of the areas listed above, with hands-on experience analyzing real biological data.</li><li>Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).</li><li>Strong statistical, quantitative, and analytical reasoning skills.</li><li>Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.</li><li>Track record of rigorous scientific problem-solving in complex biological domains.</li></ul><h4>Preferred Qualifications</h4><ul><li>Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command-line environments.</li><li>Experience with AI/ML-assisted biology workflows or benchmarking.</li><li>Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.</li></ul>"}