STEM Expert – Biology & Bioinformatics (PhD) – Remote (Worldwide)

October 28, 2026

IMPORTANT: after you apply, please check your email. 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. This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore. Pay: $45–$90/hr Job Title: STEM Expert – Biology & Bioinformatics (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: <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>Areas of Expertise (we welcome applicants from any of the following): <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 </li></ul>Required Skills and Qualifications: <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>Preferred Qualifications: <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>How To Apply 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.

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