Omer Acar

Data Engineer | Computational Biologist

I'm a data engineer and computational biologist specializing in transforming complex genomic data into pipelines and tools that scientists actually want to use. With a PhD in computational biology and experience working remotely for US biotech companies, I build systems that make omics data easier to explore and act on.

My work spans from variant interpretation dashboards in R Shiny to optimized RNA-seq pipelines and secure cloud deployments for bioinformatics tools. What ties these projects together is a focus on making the complex accessible without sacrificing scientific depth.

I especially enjoy working with research and clinical teams who need clarity, speed, and flexibility. Nothing beats the moment when a scientist can finally see patterns in their data that were previously hidden in the noise.

Recently, I've been integrating AI into scientific workflows using AWS Bedrock and building tools to extract structured data from research PDFs—helping researchers find insights faster while maintaining scientific accuracy.

When I'm not knee-deep in genomic data, I'm probably reading papers, experimenting with new computational methods, or figuring out how to make our systems run faster without catching fire. There's always a new challenge in omics data, and that's exactly what keeps me engaged.