Lead Genomics Data Scientist

Info Resume Edge; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading bioinformatics firm in Dubai is seeking a highly motivated Bioinformatics Scientist to lead analyses supporting genomic research. You will work with large biological datasets and develop computational pipelines. The ideal candidate has extensive experience in bioinformatics, strong programming skills, and a foundation in molecular biology. Competitive compensation and supportive work environment offered.

Qualifications

• 25+ years of hands-on experience in bioinformatics or computational biology.
• Solid foundation in molecular biology, genetics, and statistics.

Responsibilities

• Analyze large-scale biological datasets.
• Develop and maintain computational pipelines for data processing.
• Collaborate with interdisciplinary teams.
• Present research findings to internal teams.

Skills

Programming skills (Python, R, Bash)

Experience with NGS technologies

Strong communication skills

Ability to work collaboratively

Education

Ph.D. or Masters degree in Bioinformatics or related field

Tools

BWA

STAR

GATK

DESeq2

SAMtools

BEDTools

Git

Docker

Nextflow

Snakemake

Job description

We are seeking a highly motivated and skilled Bioinformatics Scientist to join our team. In this role, you will lead and contribute to the design, development, and execution of bioinformatics analyses to support [genomic research, drug discovery, precision medicine, or other biological innovations]. You will work with high-throughput biological data, develop computational pipelines, and help interpret complex datasets to generate meaningful scientific insights.

InfoResumeEdge is the first platform that is completely free for both recruiters and job seekers. By creating a profile, you gain global visibility, which significantly boosts your chances of instant hiringwhether for remote or onsite roles. We encourage professionals to build their profiles today and connect with top opportunities worldwide.

Key Responsibilities :

Analyze large-scale biological datasets, including next-generation sequencing (NGS), transcriptomics, epigenomics, and proteomics.

Develop and maintain robust, scalable computational pipelines for data preprocessing, alignment, annotation, and statistical analysis.

Collaborate with molecular biologists, clinicians, and data scientists to support interdisciplinary research and product development.

Interpret and visualize biological data to identify patterns, biomarkers, or novel mechanisms relevant to human health and disease.

Maintain accurate and well-documented code, protocols, and analysis reports to ensure reproducibility.

Evaluate and integrate new bioinformatics tools, algorithms, and public datasets into research workflows.

Present research findings to internal teams and contribute to scientific publications, presentations, and grant proposals.

Qualifications :

Ph.D. or Masters degree in Bioinformatics, Computational Biology, Genomics, or a related field.

[25+] years of hands-on experience in bioinformatics or computational biology.

Strong programming and scripting skills (e.g., Python, R, Bash).

Experience with NGS technologies and tools (e.g., BWA, STAR, GATK, DESeq2, SAMtools, BEDTools).

Familiarity with biological databases (e.g., Ensembl, NCBI, UCSC Genome Browser).

Solid foundation in molecular biology, genetics, and statistics.

Strong communication skills and ability to work in a collaborative, fast-paced environment.

Preferred Skills :

Experience with cloud computing environments (AWS, GCP) and workflow management tools (Nextflow, Snakemake).

Familiarity with version control (e.g., Git) and containerization (Docker, Singularity).

Background in a specific therapeutic area (e.g., oncology, rare disease, infectious disease).

Experience with single-cell data analysis, multi-omics integration, or clinical genomics.