**Aisiri Vijayasimha**
Mathikere, Bangalore – 560054
**ACADEMIC QUALIFICATION**
– **Master’s (MS) in Genomics Data Science**
– **University of Galway, Galway, Ireland**
– **Sept 2023 – Sept 2024**
– **Bachelor’s (B.E.) in Biotechnology**
– **Siddaganga Institute of Technology, Tumakuru, Karnataka**
– **Aug 2018 – Aug 2022**
**SKILLS**
– **Programming:** R, Python, Shell Scripting, Snakemake workflows
– **Genomic analysis:** NGS, DNA-seq, bulk RNA-seq, Sanger sequencing, variant interpretation
– **Bioinformatics Tools:** Autodock, PyMOL, Chimera, Velvet, SPAdes, Trinity, GATK, BWA, HISAT, BLAST, PLINK, Bioconductor packages, FastQC
– **Statistical Analysis:** Hypothesis testing, ANOVA, regression (linear/logistic), time-series, survival analysis
– **Molecular Biology Techniques:** PCR, electrophoresis
– **Data Visualization & Reporting:** ggplot2, Matplotlib, RShiny
– **Research & Reporting:** Literature curation, report generation, scientific writing
**ACADEMIC PROJECTS**
– **Statistical Analysis of Gene Expression in Psychiatric Disorders (Master’s Thesis)**
– **Jan 2024 – Aug 2024**
– **Designed and implemented statistical models in R to analyze GWAS data from multiple psychiatric disorder studies. Conducted a thorough literature review on post-GWAS methodologies, drafting a 5,000-word report.**
– **RNA-seq and DGE Analysis of Spinal Muscular Atrophy (Final Year Project)**
– **Aug 2021 – Aug 2022**
– **Processed 50GB+ RNA-Seq datasets using R and Python to identify biomarkers. Developed statistical summaries and reports highlighting differentially expressed genes in drug-treated samples.**
– **Development of Graphical User Interface (GUI) for a command-line software**
– **Aug 2020 – Aug 2021**
– **Developed a Graphical User Interface using Python’s tkinter library for a command-line gene prediction tool, enhancing accessibility and usability for users. Engineered interactive features such as dropdown menus, sliders, and checkboxes within the GUI, enabling efficient import/export of text files.**
**PROFESSIONAL EXPERIENCE**
– **Research Assistant – University of Galway, Ireland**
– **Jan 2024 – Sept 2024**
– **Applied a newly developed statistical model to GWAS datasets of 5 neurological disorders to identify statistically significant biomarkers based on parametric-testing. Extensively developed advanced R and shell scripts to automate model applications and generate publication quality plots and figures. Identified approximately 50 biomarkers involved in neurological disorders, demonstrating the effectiveness of the proposed statistical method in novel gene identification. Compiled and presented project outcomes through detailed reports and structured presentations, facilitating clear communication with team members and stakeholders. Applied survival analysis and predictive modeling to genomic datasets for disease progression studies.**
– **Research Intern – BioNome Bioinformatics Solutions, Bangalore, India**
– **Nov 2022 – July 2023**
– **Gained expertise in molecular docking and simulation techniques to analyze protein-ligand interactions for drug discovery. Leveraged AutoDock Vina and PyMOL to identify potential drug candidates with the lowest binding energy for the BACE-1 protein, a key target in Alzheimer’s disease research. Authored and led the publication of a research article based on molecular docking of BACE-1 protein.**
– **Bioinformatics Lab Intern – Siddaganga Institute of Technology, Tumkur, India**
– **Aug 2020 – Nov 2020**
– **Led NGS data analysis projects from raw data processing to final result interpretation and analysis. Responsible for creating detailed reports in genomics data analysis and training undergraduate students.**
**CONFERENCES & PUBLICATIONS**
– **Published research paper titled, “Molecular docking of BACE-1 and therapeutic effects of Capsicum annuum extracts against Alzheimer’s Disease.”**
– **Presented final year project “RNA-seq and DGE analysis of Spinal Muscular Atrophy” at a conference.**
**CERTIFICATIONS**
– **Data Science & Analytics with Python – Udemy**
– **Introduction to Python Programming – Udemy**
– **Statistical Computing with R – DataCamp**
**SKILLS**
R, Python, Shell Scripting, Snakemake workflows, NGS, DNA-seq, bulk RNA-seq, Sanger sequencing, variant interpretation, Autodock, PyMOL, Chimera, Velvet, SPAdes, Trinity, GATK, BWA, HISAT, BLAST, PLINK, Bioconductor packages, FastQC, Hypothesis testing, ANOVA, regression (linear/logistic), time-series, survival analysis, PCR, electrophoresis, ggplot2, Matplotlib, RShiny, Literature curation, report generation, scientific writing.
Cover Letter:
Dear Hiring Manager,
I am excited to apply for the Junior Genome Analyst position at MedGenome. With a strong academic background in Genomics Data Science and hands-on experience in bioinformatics research, I am eager to contribute to MedGenome’s mission of advancing genomics-driven healthcare solutions.
During my master’s program at the University of Galway, I developed expertise in analyzing high-throughput sequencing data, implementing statistical models, and working with genomic workflows. My research assistant role involved applying novel statistical models to GWAS datasets, automating analysis pipelines using R and Shell scripting, and identifying biomarkers for neurological disorders. Additionally, my experience at BioNome Bioinformatics Solutions allowed me to gain proficiency in molecular docking, protein-ligand interaction analysis, and drug discovery applications.
I am proficient in key bioinformatics tools such as GATK, HISAT, and Bioconductor packages, alongside programming languages like R, Python, and Shell scripting. My ability to handle large-scale genomic datasets, coupled with my experience in statistical analysis and visualization, positions me well for this role.
MedGenome’s focus on cutting-edge genomic research aligns with my passion for leveraging data science to derive meaningful insights from complex biological data. I am eager to bring my analytical skills, problem-solving mindset, and research expertise to your team. I welcome the opportunity to discuss how my experience can contribute to MedGenome’s ongoing projects.
Thank you for your time and consideration. I look forward to the possibility of contributing to your team.
Sincerely,
Aisiri Vijayasimha