Senior Metabolomics Assay Lead - Remote UAE

Girls Like Racing; Abu Dhabi; Remote; AED 300,000 - 460,000; Full time

Benefits offered by this job

Fully remote UAE role

Professional development opportunities

Cross-disciplinary collaboration

Competitive compensation

Job summary

Girls Like Racing is seeking a Senior Metabolomics Assay Specialist to lead advanced metabolomics method evaluation and data interpretation in a fully remote UAE-based role. You’ll collaborate with researchers, bioinformaticians, and QA teams to ensure robust, reproducible assays and high quality documentation.

The ideal candidate has extensive MS experience, strong analytical writing skills, and a track record of assay validation, method transfer, and data integrity across biological matrices.

Qualifications

• Bachelor's degree in a relevant discipline; master's/PhD advantageous.
• Extensive metabolomics assay development and validation experience.
• Strong MS data interpretation and quality-control understanding.

Responsibilities

• Review and optimize metabolomics assay methodologies and workflows.
• Provide guidance on assay design, validation, and performance evaluation.
• Evaluate LC-MS/GC-MS data and analytical acceptance criteria.
• Assess sample preparation methods and matrix effects.
• Oversee data processing, normalization, and reporting of results.
• Collaborate with bioinformatics to ensure data integrity and annotation.
• Investigate deviations, outliers, and action corrective measures.
• Support SOPs, technical reports, and lifecycle documentation.

Skills

Metabolomics

Mass spectrometry

Data interpretation

Scientific writing

Remote collaboration

Quality oversight

Education

Bachelor's in Analytical Chemistry / Biochemistry / Metabolomics

Tools

LC-MS data analysis tools

Quality assurance software

Job description

Girls Like Racing is seeking a Senior Metabolomics Assay Specialist to lead advanced metabolomics method evaluation and data interpretation in a fully remote UAE-based role. You’ll collaborate with researchers, bioinformaticians, and QA teams to ensure robust, reproducible assays and high quality documentation.

The ideal candidate has extensive MS experience, strong analytical writing skills, and a track record of assay validation, method transfer, and data integrity across biological matrices.