Mira Sohn

Background

About Mira Sohn

Bioinformatics Scientist with 5+ years of experience, leveraging advanced computational tools and Unix-based high-performance computing (HPC) systems to analyze complex high-throughput multi-omics data. Skilled in interpreting next-generation sequencing (NGS) datasets such as 10x Genomics Multiome, Visium, scRNA-seq, bulk RNA-seq, scATAC-seq, ChIP-seq, CUT & Tag, and CUT & RUN as well as mass-spectrometry data for proteomics, metabolomics, and lipidomics. Developed scalable and reproducible analysis pipelines using Snakemake, parallel computing, Conda, Singularity container, and version control like Git. Dedicated to advancing bioinformatics innovation through data-driven insights and streamlined workflows. Proficient in R, Python, and BASH, with a focus on translating high-throughput multi-omics data into insightful biological findings. Actively contributes to training and mentoring initiatives, fostering a collaborative environment to empower researchers and enhance scientific capabilities.Former wet-lab biologist with five years of postdoctoral research in cancer and metabolic diseases—experience that grounds my computational work in deep biological context and a clear understanding of translational questions.