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Hire the best Bioinformatics Developers in Malaysia

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  • $50 hourly
    • 4.8/5
    • (5 jobs)
    I am a versatile Bioinformatics Scientist with over 7 years of experience in bioinformatics, genomic data analysis, population genetics and custom pipeline development. I combine expertise in R/Python with deep domain knowledge to solve problems in disease research, molecular biology, genetics, breeding My hybrid skill set combines expertise in cutting-edge bioinformatics tools, data visualization and computational analysis to drive insights and innovations in the life sciences. **Core Expertise**: - **Genomic Data Analysis**: DNA and RNA sequence analysis, variant detection, functional annotation, GWAS and comparative genomics - **Bioinformatics Pipelines**: Development and optimization of custom pipelines for NGS data processing and variant analysis pipelines (DESeq2, PLINK, GATK), Custom R/Python scripts for data integration. - **Data Visualization & Statistical Analysis**: Custom R/Python scripts for visualization, Adobe Illustrator for presenting complex data insights **Publications**: - *TP53 Somatic Mutations in Asian Breast Cancer Associated with Subtype-Specific Effects* – A recent study highlighting the distinct molecular impact of TP53 mutations in breast cancer among Asian populations [Breast Cancer Research, 2023]. - *Clustering of HR + /HER2− Breast Cancer in an Asian Cohort Driven by Immune Phenotypes* – A comprehensive transcriptomic study revealing unique immune-driven subtypes of breast cancer in Asian patients [Breast Cancer Research, 2024]. - *The Fate of Chromosomes and Alleles in an Allohexaploid Brassica Population* – Research on the genetic behavior of allohexaploid Brassica, elucidating chromosomal stability in polyploids [Genetics, 2014]. **Skills** -Technical: R, Python, Bioconductor,SNakemake,DESeq2, ggplot2 -Genomics: RNA-seq, GWAS, Variant Calling, Population Genetics **Let's Collaborate** Collaboration in genomics, genetics or molecular biology where I can apply my bioinformatics skills, R/Python skills to help unravel the mysteries within biological data.
    Featured Skill Bioinformatics
    Molecular Biology
    ggplot2
    Genetics
    Genomics
    Biology
    Adobe Illustrator
    Python
    Data Analysis Expressions
    RNA
    DNA
    R
  • $5 hourly
    • 4.8/5
    • (7 jobs)
    I am a highly motivated individual with extensive experience in multiple programming languages (Python, Bash, Perl) and a deep understanding of bulk RNA-seq ( Oxford Nanopore Technology, Illumina, PacBio), single-cell RNA-seq and spatial transcriptomics. Throughout my academic and professional journey, I have developed a robust knowledge base in utilizing various genomic and transcriptomic aligners, as well as downstream bioinformatics tools for both identification and quantification purposes, differential expression analysis algorithms and generating visually impactful graphs such as ggplot2, Matplotlib, Seaborn, and Plotly. Moreover, I have designed a novel pipeline to outperform conventional methods in identifying circRNAs and is proven to be more effective through benchmarking studies using simulated datasets. I have even modified existing algorithms to enable my team to analyze current data that fits our objectives. For example, I have modified a python algorithm that was initially designed in finding relationships between circRNAs and miRNAs to enable it to also identify relationship between miRNA and mRNA. From this results, we were able to form a competing endogenous RNA network, linking circRNAs to mRNA. In addition to my current expertise, I have a strong and ongoing interest in learning all other forms of sequence analysis such MNase-seq, ATAC-seq and so on. For example, I have independently learned to analyze both single-cell and spatial transcripts through online materials and Youtube. This demonstrates my unquenchable thirst to learn and my enthusiasm for expanding my skill set beyond the current level. Furthermore, I have hands-on experience with SLURM Linux batch HPC systems, a knowledge crucial for this position. My ability to submit, manage and troubleshoot RNA-seq analysis jobs on HPC systems has been integral to my success in previous roles. I have also shared some of my scripts in my personal GitHub account (Mathan98). Beyond my technical skills, I bring strong interpersonal abilities to the table, including independence, problem-solving, multi-tasking, quick learning, and adaptability. For example, despite starting with no prior experience in bioinformatics, I completed my Master’s degree in just 3 years, a testament to my ability to rapidly acquire new skills and tackle research challenges effectively. Moreover, throughout my tenure as a Graduate Research Assistant (GRA), I have been tasked with sample prepping, troubleshooting problems, mentoring students and document relevant research publications. All these has honed my ability to communicate complex biological and coding concepts in a clear and accessible manner. I am confident that my background and skills align well with the Bioinformatics project you bring forward. I would welcome the opportunity to discuss more on how my experiences and interests align with the needs of your team. Hope to hear from you soon.
    Featured Skill Bioinformatics
    Cluster Computing
    Bash Programming
    Linux
    R
    Python
  • $35 hourly
    • 4.9/5
    • (177 jobs)
    I hold a first degree and Ph.D in bioinformatics field. As an accomplished bioinformaticist with over many years of experience in the field of bioinformatics research. I have a proven record in publication and published 31 high impact papers. I have great skills in a variety of bioinformatics analysis such as transcriptome, single cell RNA, whole genome, exon, metagenomics, GWAS and bacterial genome analysis. I am also able to create a pipeline with the programming language like Python, Perl and R. I am also familiar with Mathematic and statistic analysis as I am currently also a Mathematic and statistic lecturer at University level. Math topics like algebra, calculus, probability and trigonometry are the usual topic I teach in University. I also have experience in using Statistic software like SPSS, Excel, Python and R. I also know about Machine learning topics such as (clustering, SVM and other algorithms) Below is the list of the Bioinformatic analysis I am familiar with: • Next-generation sequencing analysis (RNA-seq, Whole-genome sequencing and Exome sequencing) • Bacterial genome analysis • Genome assembly and annotation • Metagenomics analysis • Comparative genomic analysis • Comparative pathogenomics analysis • Phylogenetic analysis • Pan-genome analysis • Transmission network analysis • Familiar with few programming languages such as Perl, Python, Java • Capable to develop a bioinformatics pipeline • Differential gene expression analysis • GWAS • SNP variant analysis • ANI, AAI and GGDC analysis Familiar Statistics Software: • SPSS • R (Rstudio) • Python (Jupyter notebook) • Excel Familiar Bioinformatics Software: Genome assembly softwares: • CLC Genomics Workbench • SPAdes Genome Assembler • Assembly By Short Sequences (ABySS) • Velvet assembler • SOAPdenovo • SSPACE • MaSuRCA • Unicycler Genome mapping, alignment and processing tools: • Bowtie/Bowtie2 • Burrows-Wheeler Aligner (BWA) • MUMmer (NUCmer and PROmer) • SAMtools • BAMtools • Picard tools • ClustalW • BLAST • HISAT2 Genome annotation software: • Rapid Annotation using Subsystem Technology (RAST) • DAVID Functional Annotation • GeneMark • Blast2GO Metagenomics analysis tools: • MEtaGenome ANalyzer (MEGAN5) • DIAMOND • QIIME2 QIIME2R Phylogenetic tree analysis tools: • Molecular Evolutionary Genetics Analysis (MEGA) • Fasttree RNA-sequencing: • Cufflinks • Trinity • EdgeR • DESeq2 Single Cell - RNA analysis • Seurat Exome-sequencing: • ANNOVAR • SnpEff and SnpSift • GATK Other genomic analysis tools: • Pan-Genome Analysis Pipeline (PGAP) • PGAweb • IslandViewer • PHAge Search Tools (PHAST) • BadiRate • Circos • DNAPlotter
    Featured Skill Bioinformatics
    Microsoft Excel
    Statistics
    RStudio
    Scripting
    Python Script
    Linux
    Genomic Data Analysis
    Science Tutoring
    Genetics
    Biostatistics
    R
    Python
    Bayesian Statistics
  • $9 hourly
    • 0.0/5
    • (0 jobs)
    To be a competent worker, gaining administration and data entry management knowledge and work remotely.
    Featured Skill Bioinformatics
    SQL
    Database
    Management Skills
    Database Management System
  • $20 hourly
    • 0.0/5
    • (0 jobs)
    "I'm a graduate of Bachelors of Biomedical Science student at Taylor’s University with excellent academic track record. In possession of a diverse set of data analytical/computational skills mainly concerning statistics, machine learning or deep learning-related disciplines. Have had numerous involvement in research publications endowing myself with the skills in biostatistics, omics-data analysis, in the context of bioinformatics and oncology. Besides that, during my internship in Roche Malaysia I have developed numerous Rscripts and applications using RShiny that can be applied in a corporate and/or commercial setting, including data exploration, computational automation systems, email subject line optimization.
    Featured Skill Bioinformatics
    Life Science
    Text Analysis
    Image Analysis
    TensorFlow
    Bootstrap
    Data Mining
    Unsupervised Learning
    Data Analytics & Visualization Software
    Molecular Biology
    R Shiny
    Machine Learning
    Data Analysis
    Python
    R
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