Y- Work from
- United States
- Contract
- Contract
- Salary
- $50 – $90 / hour
- Posted
- 13 November 2026
- Apply by
- 12 January 2027
Role Type: ContractorLocation: Remote (Worldwide)
About the role
We are seeking experienced Computational Biology and Bioinformatics Experts to contribute their scientific expertise to the development and evaluation of next-generation AI systems.
In this role, you will apply your knowledge of computational biology, genomics, and bioinformatics to assess complex scientific workflows, analyze biological datasets, and evaluate AI-generated outputs. Your contributions will help improve the accuracy, reliability, and scientific reasoning capabilities of AI systems.
Responsibilities
- Design, evaluate, and critique bioinformatics and computational biology workflows for AI benchmarking initiatives.
- Provide expert insights into genomic, transcriptomic, and proteomic data analysis pipelines.
- Assess and optimize pipeline parameters, software configurations, and statistical methods to ensure accuracy and reproducibility.
- Analyze biological datasets, including NGS, RNA-seq, variant analysis, and protein structure data, and provide actionable recommendations.
- Apply domain expertise to support the development and validation of biology-focused AI models and tools.
- Communicate complex scientific concepts clearly to technical and non-technical collaborators, both verbally and in writing.
- Document research findings, methodologies, and best practices to support knowledge sharing and collaboration.
Requirements
- PhD in Bioinformatics, Computational Biology, Genomics, or a closely related field, or equivalent industry or research experience.
- Professional written and spoken English proficiency (C1 level or higher).
- Hands-on experience analyzing biological datasets, such as NGS, RNA-seq, and genomic variant data.
- Proficiency in Python and/or R for scientific analysis.
- Experience with standard bioinformatics tools such as BLAST, Samtools, GATK, Bioconductor, or Biopython.
- Experience developing reproducible workflows using tools such as Nextflow or Snakemake.
- Familiarity with Linux and command-line environments.
- Strong statistical, quantitative, and analytical reasoning skills.
- Excellent written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
- Demonstrated ability to solve complex scientific problems in specialized biological domains.
Nice to have
- Experience with AI/ML-assisted biology workflows or benchmarking initiatives.
- Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.
- Background in single-cell analysis, structural biology, proteomics, or drug discovery.
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Discussion
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