Computational Biology & Bioinformatics Expert (PhD)

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