Job Title: Computational Biology & Bioinformatics Expert (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.
About the role
Job Title: Computational Biology & Bioinformatics Expert (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:
Design, evaluate, and critique bioinformatics and computational biology workflows to support AI benchmarking initiatives.
Provide expert-level insights on genomic, transcriptomic, and proteomic data analysis pipelines.
Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
Analyze biological datasets (e.g., NGS, RNA-seq, variant calling, protein structure) and provide actionable recommendations.
Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.
Required Skills and Qualifications:
PhD in bioinformatics, computational biology, genomics, or a closely related field, or equivalent industry/research experience.
Professional written and spoken English (C1 or higher).
Hands-on experience analyzing biological data (e.g., NGS, RNA-seq, variant analysis).
Proficiency in Python and/or R for scientific analysis, plus experience with standard bioinformatics tools (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
Experience building reproducible workflows with tools such as Nextflow or Snakemake, and comfort working in Linux/command-line environments.
Strong statistical, quantitative, and analytical reasoning skills.
Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts. …
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