Bioinformatics Data Scientist

Info Resume Edge; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading platform for job seekers is looking for an analytical Bioinformatics Data Scientist to join their team in Dubai. This role focuses on integrating computational methods and bioinformatics techniques to analyze complex datasets, contributing to advancements in precision medicine and biotechnology. Candidates should have a Master's or Ph.D. in a relevant field with experience in machine learning and handling biological datasets. Strong programming skills in Python and R are essential for success in this position.

Qualifications

• 5+ years of experience with biological datasets in industry or academia.
• Experience with high-throughput sequencing data and tools like GATK and DESeq2.
• Familiarity with version control and cloud computing.

Responsibilities

• Design and implement computational workflows for large-scale data processing.
• Apply machine learning to discover patterns and therapeutic targets.
• Develop dashboards to communicate findings to stakeholders.

Skills

Python programming

R programming

Statistical modeling

Machine learning

Data visualization

Education

Masters or Ph.D. in Bioinformatics or related field

Tools

pandas

scikit-learn

TensorFlow

Git

AWS

Job description

We are seeking a highly analytical and innovative Bioinformatics Data Scientist to join our interdisciplinary team. In this role you will integrate advanced computational methods, machine learning and bioinformatics techniques to analyze complex biological datasets and extract actionable insights. Your work will directly contribute to the development of precision medicine, novel therapeutics, diagnostics or agricultural biotechnology solutions.

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Key Responsibilities

• Design and implement computational workflows for processing and analyzing large-scale omics data (e.g. genomics, transcriptomics, proteomics, epigenomics).
• Apply statistical modeling and machine learning to uncover patterns, biomarkers or therapeutic targets.
• Integrate data from multiple sources (e.g. public datasets, clinical data, lab experiments) to generate comprehensive biological insights.
• Develop visualization dashboards and reports to communicate findings to technical and non‑technical stakeholders.
• Collaborate with biologists, clinicians and software engineers to support ongoing research and product development.
• Contribute to publications, patents and regulatory documentation as applicable.
• Ensure reproducibility, scalability and maintainability of all developed code and pipelines.

Qualifications

• Masters or Ph.D. in Bioinformatics, Computational Biology, Data Science, Computer Science or a related field.
• 25 years of experience working with biological datasets in an industry or academic setting.
• Strong programming skills in Python and/or R; familiarity with data science libraries (e.g. pandas, scikit-learn, TensorFlow, ggplot2).
• Experience working with high‑throughput sequencing data (e.g. RNA‑Seq, WGS, scRNA‑Seq) and tools (e.g. GATK, DESeq2, STAR, Seurat).
• Proficiency in statistics, machine learning and data visualization.
• Experience with version control (Git), cloud computing (AWS, GCP) and workflow tools (e.g. Nextflow, Snakemake).

Preferred Skills

• Experience with AI/ML approaches for biomarker discovery or drug response prediction.
• Familiarity with relational databases and APIs for biomedical data (e.g. TCGA, ENCODE, GEO, EGA).
• Background in molecular biology or translational research is a plus.
• Experience in clinical bioinformatics or regulatory environments (e.g. FDA, HIPAA‑compliant systems).