Remote Bioinformatics Scientist: Genomics & ML Modeling

HUMAN-AI-Z Nexus Technology; Dubai; On-site; AED 455,000 - 607,000; Part time

Job summary

HUMAN-AI-Z Nexus Technology is seeking a Bioinformatics Scientist for a remote contract to develop and apply computational models that analyze genomics, proteomics, and metabolomics data. You will collaborate with cross-functional teams to implement pipelines and deliver high-impact biological insights.

The role emphasizes rigorous statistical analysis, machine learning, and scalable software development for biotechnological research and drug discovery in a global setting.

Qualifications

• PhD or Master's degree in Computational Biology, Bioinformatics, Computer Science, or a related field.
• Proficiency in Python, R, or MATLAB for data analysis and modeling.
• Experience with biological databases, tools, and software including BLAST, Bioconductor, or similar platforms.
• Strong background in statistics, machine learning, and algorithm development for biology.
• Familiarity with high-performance computing and cloud-based platforms for large-scale data processing.

Responsibilities

• Develop and optimize computational models for biological data analysis, including genomics, proteomics, and metabolomics datasets.
• Design and implement algorithms to process large-scale biological datasets with a focus on accuracy and scalability.
• Collaborate with research teams to translate biological questions into computational frameworks and analytical pipelines.
• Validate and refine models using experimental data to ensure biological relevance and predictive power.
• Document methodologies, results, and findings in technical reports and presentations for internal stakeholders.

Education

PhD or Master's degree in Computational Biology, Bioinformatics, Computer Science, or a related field

Tools

Python

R

MATLAB

BLAST

Bioconductor

HPC

Cloud computing

Job description

HUMAN-AI-Z Nexus Technology is seeking a Bioinformatics Scientist for a remote contract to develop and apply computational models that analyze genomics, proteomics, and metabolomics data. You will collaborate with cross-functional teams to implement pipelines and deliver high-impact biological insights.

The role emphasizes rigorous statistical analysis, machine learning, and scalable software development for biotechnological research and drug discovery in a global setting.