Dr. Mohammed Bamajboor is an experienced bioinformatician specializing in clinical genomics and NGS (Next Generation Sequencing) data analysis.

He earned a Ph.D. in Biomedical Informatics from Rutgers University, USA, and an M.S. in Bioinformatics from the University of the Sciences in Philadelphia, USA.
His academic background combines healthcare informatics, advanced algorithms, and biomedical data management, building a solid foundation for his bioinformatics career.

At King Fahad Medical City (KFMC), Dr. Bamajboor manages high-throughput NGS workflows, processing thousands of genomic samples annually.
He collaborates closely with clinical teams to integrate genomics into patient care, resolving sequencing data issues and optimizing variant detection pipelines.

Dr. Bamajboor also spearheaded the development of a Variant Search Application to enhance Whole Exome Sequencing (WES) analysis.
This tool enables dynamic searches, helping clinical teams make faster, more informed decisions and improve diagnostic outcomes.

Before joining KFMC, Dr. Bamajboor worked as a Data Analyst at the Institute for Critical Care Medicine (ICCM) at Mount Sinai Health System, New York.
There, he honed his data analysis skills by optimizing data pipelines, managing clinical dashboards, and developing reporting solutions for research and quality improvement.
He also managed ICU patient data for quality initiatives and contributed to the implementation of a surveillance system for infectious disease control by analyzing data across hospital platforms.

His upcoming presentation, “Development of a Custom Pipeline and Variant Database for Clinical Whole Exome Sequencing Reporting at King Fahad Medical City (KFMC),” will provide insights into his work on optimizing WES data analysis and enhancing variant reporting through customized bioinformatics solutions.