Megan Clark

• Phone: +1 416 555 0123
• Email: megan.clark@email.com
• Location: Toronto, Canada
• LinkedIn: meganclarkbioinfo

Summary

Four years of hands-on experience in bioinformatics, developing and optimizing computational pipelines for genomic and transcriptomic data analysis to support drug discovery and disease research. Proficient in applying statistical methods and machine learning algorithms to extract biological insights from large-scale datasets.

Adept at collaborating with molecular biologists and geneticists to translate complex research questions into robust bioinformatics solutions, improving data processing efficiency by 30% in previous roles.

Experience

Bioinformatics Technician, Genomic Health Canada -- Toronto, Canada

Aug 2021 – present

• Developed and maintained Next-Generation Sequencing (NGS) data processing pipelines using Python and R, reducing analysis time for whole-exome sequencing data by 25%.

• Performed quality control, alignment, variant calling, and annotation for genomic datasets, supporting studies on complex genetic diseases.

• Collaborated with research scientists to design experiments and interpret bioinformatics results, contributing to three peer-reviewed publications.

• Managed and optimized large genomic databases, ensuring data integrity and accessibility for research teams.

Junior Bioinformatics Analyst, Bio-Analytics Solutions Inc. -- Toronto, Canada

Sept 2019 – July 2021

• Assisted in the analysis of RNA-seq and ChIP-seq data, identifying differentially expressed genes and transcription factor binding sites.

• Implemented custom R scripts for statistical analysis and visualization of biological data, enhancing reporting accuracy for client projects.

• Provided technical support for bioinformatics tools and platforms, training junior staff on data handling best practices.

• Contributed to the development of a standardized data analysis workflow, improving project turnaround time by 15%.

Education

University of Toronto, M.Sc. in Bioinformatics and Computational Biology -- Toronto, Canada

Sept 2018 – Aug 2019

McMaster University, B.Sc. in Molecular Biology and Genetics -- Hamilton, Canada

Sept 2014 – May 2018

Skills

Programming & Scripting: Python (Pandas, NumPy, Biopython), R (ggplot2, Bioconductor), Bash, SQL

Bioinformatics Tools & Databases: BLAST, Bowtie2, BWA, GATK, samtools, bedtools, IGV, UCSC Genome Browser, NCBI, Ensembl

Genomic Data Analysis: NGS Data Processing, RNA-seq, Whole-Exome Sequencing, Variant Calling, Differential Expression Analysis, Pathway Analysis

Operating Systems & Cloud: Linux, macOS, AWS (S3, EC2)

Data Visualization & Statistics: ggplot2, Matplotlib, Statistical Modeling, Machine Learning (clustering, classification)