GenomOncology is a precision oncology software company based in Cleveland, Ohio, that aims to help revolutionize the field of oncology. With solutions designed to streamline data enablement, pathology workflows, decision support, and analytics, GenomOncology strives to empower healthcare professionals by providing data-driven insights to advance cancer care. GenomOncology partners with over 40 leading healthcare institutions, including numerous NCI / NCCN-designated cancer centers and nationally-recognized molecular labs. Learn more at genomoncology.com.

GenomOncology is a genomics software company that develops precision oncology solutions to measurably improve patient therapy and clinical trial options. GenomOncology enables real-time decision support at the point-of-care to accelerate the impact of personalized medicine. GO’s Precision Oncology Platform supports a large and diverse client base of leading cancer centers and labs by combining world class technology with seamlessly integrated curated content and annotation sets to enable decision support. This allows pathologists, oncologists, clinical trial nurses and bioinformaticians to focus on providing essential patient care.

Role Details:• Researched algorithms using optical character recognition to analyze clinical PDFs and scans to extract structured data• Prototyped a quality-control UI in React to review the end product of the document processing algorithm.• Performed quality-control post-processing on documents that were run through the algorithm.

Role Details• Designed features for an asychronous command line interface for performing extract, transform, load (ETL) processes on extremely large amounts of genomic data.• Created detailed documentation for a separate command line interface for automatically generating Swagger2.0 schemas• Completed bug fixes and feature implementation tickets for web APIs remotely while also competing coursework.

Role Details:• Designed a suite of integration tests for GenomOncology's bio-informatics APIs that are used for oncology research applications. • Customized, implemented, and documented features for an in-house API testing framework.• Built scripts to perform extract, transform, load (ETL) processes on genomic data used to populate clients' databases.

Managed inventory and fulfilled orders at a company specializing in foods for bariatric patients.

Worked as a store employee, serving customers and operating the cash register.