Jackson Li

Parkville,MD

Summary

Bioinformatics professional with an MS in Biotechnology (Bioinformatics) and experience in NGS data analysis, pipeline development, and clinical database systems (Epic, REDCap). Proficient in Python, R, SQL, and Bash, with hands-on experience in Linux environments, designing web-based bioinformatics tools, and developing data workflows. Proven ability to collaborate with interdisciplinary teams, document technical processes, and deliver quality analyses in research settings.

Overview

years of professional experience

Certification

Work History

Research Technician

University of Oklahoma Health Science Center

Oklahoma City, OK

08.2022 - 08.2023

Designed and optimized REDCap data collection logic (1,000+ participant records), improving dataset collection efficiency, accurate compensation dispensing, and cleaning accuracy.
Conducted statistical modeling and anomaly detection to ensure data quality and support research decision-making through R (ggplotlib) for data visualization.
Updated and authored SOPs, protocols, and technical documentation to standardize processes, support compliance, and enhance reproducibility for training new staff.
Collaborated with clinicians, research coordinators, and IT staff to refine experimental and data workflows, ensuring system usability and alignment with clinical operations.
Presented workflow improvements and findings in cross-functional meetings, to produce timely deliverables for grant proposals and data presentations.

Certified Nursing Assistant

SSM Health St. Anthony Hospital

Oklahoma City, OK

07.2021 - 12.2021

Supported patient care and maintained detailed data documentation in Epic systems, ensuring compliance with physician orders and hospital protocols.
Applied aseptic techniques and sample handling skills, contributing to translational research foundations and accurate clinical workflows.

Education

Master of Science - Biotechnology - Bioinformatics

Johns Hopkins University

Baltimore, MD

05.2025

Bachelor of Science - Chemical Biosciences

University of Oklahoma

Norman, OK

05.2022

Skills

Programming & Analysis: Python, R, SQL, Bash, statistical modeling, data visualization, anomaly detection - Computational Environments: Linux/Unix, SSH, command-line interface, Git/GitHub
Bioinformatics Tools: PyMOL, AutoDock Vina, SwissDock, EPA's TEST, FASTA sequence analysis, database schema design

Clinical Systems: Epic, REDCap, data workflows, SOP documentation, compliance protocols
Laboratory Techniques: PCR/qPCR, ELISA, aseptic technique, cell culture, microbial assays

Projects

Drug Discovery Bioinformatics Pipeline (SIRT5): Developed a collaborative bioinformatics workflow simulating protein-ligand interactions using AutoDock Vina and SwissDock. Applied EPA's TEST for toxicity prediction and created molecular visualizations in PyMOL. Worked across global time zones to coordinate data analysis and produce comprehensive technical reports.
Viral Motif Analyzer: Designed and implemented a web-based bioinformatics application for viral genome analysis using Python and SQL. Developed relational database schemas to query the Eukaryotic Linear Motif (ELM) database and created interactive interfaces for analyzing FASTA-formatted sequences, demonstrating pipeline development skills applicable to NGS workflows.
Real-Time Gene Search Interface: Created a web-based search tool with AJAX-powered autocomplete that dynamically queries genomic databases and updates suggestions in real-time. Designed responsive HTML interfaces for biological data visualization, directly applicable to developing interactive customer reports for NGS analysis.