Omid Mohajeri
Bioinformatics Data Scientist @Teesside University
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WORK HISTORY
Bioinformatics Data Scientist @Teesside University
Middlesbrough, GB
Collaboration with Prof. Claudio Angione at Teesside University, UK • Focusing on the intersection of immunology and cancer therapy, particularly in applying bioinformatics to analyze immune system complexities to uncover novel biomarkers for immunotherapy responses • Developed an R-based bioinformatics pipeline for scRNA-seq, enhancing AI model accuracy. • Created a Shiny app and computational methods for key gene feature identification. • Engaging with cutting-edge computational tools in Systems Biology and Machine Learning. • Guiding biological interpretation of results. • Offering insights on Immunology, ICB therapy, Immune Responses & Biomarker identification.
EDUCATION
Islamic Azad University, Science And Research Branch
BSc, Plant Products Engineering
Islamic Azad University, Science And Research Branch
MSc , Physiology of Horticultural Crops
Teesside University
MSc, Bioinformatics (with advanced practice)
ABOUT OMID MOHAJERI
Thank you for taking the time to view my profile. Possessing two master’s degrees earned with distinction, with 4+ years in Bioinformatics, I specialize in R and Python Programming, Cancer Research, and Web Apps (Shiny), Web Development (HTML/CSS). Notable projects include pipelines for Transcriptomics (Bulk RNA Seq, single cell RNA Seq, Microarray). I excel in creating Data Analysis Pipelines, integrating Large Datasets, and enhancing Personalized Medicine. My work stands out for its Innovation and practical applications in Cancer Research. Additionally, I am currently part of a computational team with experts in Machine Learning and Deep Learning, working on a project focused on the Deep Learning analysis of single-cell RNA sequencing. While my primary role involves conducting the scRNA-seq analyses, I am actively expanding my skills in ML and DL through this collaboration. I am enthusiastic about building upon my experience in these areas and applying these advanced techniques in future projects. A thorough and accurate communicator, I exercise clarity and conciseness in authoring scientific reports and presenting complex scientific concepts to non-scientific audiences. Additionally, I offer proven skills and knowledge in the use of bioinformatics tools and biological systems for molecular biomarkers / diagnostics, treatments and drug discovery. I am highly capable of adapting rapidly to new environments and would like to emphasize my capability to academic research background to contribute either to challenging pharmaceutical and biotechnology projects or to academic research. My Areas of Expertise include: • Transcriptomics (Bulk, Single Cell RNA Seq and Microarray analyses) • Programming Languages: Specialized in R, Python, HTML, CSS. • Data Integration & Meta-analysis • AI Models (Machine Learning/ Deep Learning) • Scripting & Programming • Immunology and Molecular Biology • Next Generation Sequencing (NGS) and multi-omics • Biomarker & Pathway Discovery • Data Visualisation / Accessibility • Data Analysis • Pipeline/Workflow Development • Web Application (Shiny) and Website Development • Biological Data Report Generation I encourage you to connect with me today to learn more about my background and arrange a discussion.
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