Computational Biology & Bioinformatics Expert (PhD)

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. • Track record of rigorous scientific problem-solving in complex biological domains. Preferred Qualifications: • Experience with AI/ML-assisted biology workflows or benchmarking. • Peer-reviewed publications, patents, or contributions to open-source bioinformatics software. • Background in single-cell analysis, structural biology, proteomics, or drug discovery. • prediction/retrosynthesis. Originally posted on Himalayas