Role OverviewWe are seeking experienced Computational Biology and Bioinformatics Experts to contribute their scientific knowledge to advanced AI training and evaluation initiatives. The work combines advanced biological research expertise with next-generation sequencing, statistical modelling, pipeline optimisation, and structured technical evaluation to improve the scientific accuracy, reasoning, and reliability of advanced AI systems.
What You Will Do
Selected professionals will design, review, and evaluate complex bioinformatics problems, computational biology workflows, and AI-generated scientific analyses. They will also develop scientifically accurate challenges involving biological datasets, computational methods, and analytical interpretation.
Why It Might Be a Fit
Ideal candidates will have a PhD in Bioinformatics, Computational Biology, Genomics, or a closely related scientific discipline, or equivalent industry or research experience. They will also have advanced expertise in computational biology, bioinformatics, genomics, or closely related quantitative biological research.
Requirements
- PhD in Bioinformatics, Computational Biology, Genomics, or a closely related scientific discipline, or equivalent industry or research experience
- Advanced expertise in computational biology, bioinformatics, genomics, or closely related quantitative biological research
- Hands-on experience analysing real biological datasets, including NGS, RNA-seq, or genomic variant analysis
- Strong understanding of molecular biology, genetics, computational research methodologies, and biological data interpretation
- Practical proficiency in Python and/or R for scientific programming, quantitative analysis, and computational biology
- Experience with standard bioinformatics tools such as BLAST, samtools, GATK, Bioconductor, Biopython, or equivalent software
- Experience developing reproducible workflows using Nextflow, Snakemake, or comparable tools
- Comfort working in Linux and command-line environments for scientific computing and workflow execution
- Strong understanding of sequencing data processing, quality assessment, alignment, variant calling, and biological annotation
- Experience analysing genomic, transcriptomic, proteomic, or structural biology datasets
- Ability to evaluate computational pipeline parameters, software configurations, and statistical methodologies
- Strong statistical, quantitative, and analytical reasoning capabilities
- Demonstrated experience developing technically rigorous solutions to complex biological research problems
- Professional written and spoken English proficiency at C1 level or higher
- Excellent written and verbal communication skills, including the ability to document complex scientific methods and explain technical findings clearly
Benefits
- Competitive hourly rate of $45–$90/hour
- Flexible, fully remote work arrangement
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