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STEM Expert – Biology & Bioinformatics (PhD) – Remote (Worldwide)
<strong>IMPORTANT: after you apply, please check your email.</strong> We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.<br><br><strong>This is a fully remote position</strong>, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.<br><br><strong>Pay:</strong> $45–$90/hr<br><br><strong>Job Title:</strong> STEM Expert – Biology & Bioinformatics (PhD)<br><br><strong>Job Type:</strong> Contractor<br><br><strong>Location:</strong> Remote(Worldwide)<br><br><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.<br><br><strong>Key Responsibilities:<br><br></strong><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.<br><br><br></li></ul><strong>Areas of Expertise (we welcome applicants from any of the following):<br><br></strong><ul><li>Genomics & NGS analysis</li><li>Transcriptomics & single-cell analysis</li><li>Proteomics & structural biology</li><li>Molecular & cell biology</li><li>Systems biology & biological network analysis</li><li>Drug discovery & computational pharmacology</li><li>Biostatistics & machine learning applied to biology<br><br><br></li></ul><strong>Required Skills and Qualifications:<br><br></strong><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.<br><br><br></li></ul><strong>Preferred Qualifications:<br><br></strong><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.<br><br><br></li></ul><strong>How To Apply<br><br></strong>Apply here with your profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.