Ivan Jimenez Email & Phone Number

Medaxion makes it easy to capture, share, and analyze anesthesia and pharmacy data in real time. Delivering comprehensive, accurate case and drug data directly to your teams: clinical, revenue cycle management, pharmacy, and executive. As information moves from the OR (operating room), we surface activity and provide rich performance analysis.• In charge of the integration of health platforms or products, handling PHI and implementing HL7 standards. Managing, cleaning, and identifying trends in patient information data pipelines for anesthesia care delivery.• Extensive experience in ETL processes, networking, and infrastructure management.• Expertise in writing Python and JavaScript code for data analysis, emphasizing accuracy in processing and interpreting healthcare-related data. Enhancing software products functions, use,and performance.• Mentor a team of four engineers in the development and integration.• Proactively established and maintained a comprehensive knowledge base, documenting bestpractices, protocols, and solutions for efficient troubleshooting and development.Technology Stack: AWS, MySQL, JavaScript, Python, Java.js, Git, ETL, REST APIs

Chapel Hill, North Carolina, United States

• Researched, developed and optimized statistical models based on RNA features using tissue data from the Human Protein Atlas to identify distinct rare codons in select RNA-sequenced Drosophila tissues.• Contributed to the creation of CORAL, an interactive and customizable kinase enrichment and visualization platform. With critical RShiny and D3.js code, I developed layouts that allow additional visualizations in the web application.• Analyzed Mutational Signatures in TCGA Breast Cancer Data and improved Bayesian algorithm to identify and characterize mutational signatures of human cancer data.Technology Stack: Linux, RStudio, ETL, Python, Pandas, Git, Bash, RShiny, JavaScript, D3.js

San Juan, Puerto Rico

• Benchmarked file systems on the “Bridges” supercomputer utilizing custom workflows on sequenced human data. Analyzing RNA sequences and big data cancer workflows.• Evaluated quantification and expression methods using Drosophila melanogaster data. Compared reference and de novo-based assemblies of RNA-seq fruit fly data.Technology Stack: Linux, Bash, Git, Python, Pandas, R

Pittsburgh, Pennsylvania, United States

Master Of Science - Ms, Bioinformatics

Activities and Societies: Initiative for Maximizing Student Development (IMSD) - https://bbsp.unc.edu/diversity/imsd/

Bachelor'S Degree, Computer Science

Activities and Societies: NIH – MBRS/RISE Program: https://brtc.uprrp.edu/rise/index.php/about/