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Job Description: Computational Biology & Bioinformatics Expert (PhD)
Role Type: Contractor
Location: 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.
Key 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.
Required Skills and Qualifications
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.
Preferred Qualifications
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.
Originally posted on Himalayas