Elizabeth Graber
Richland
Summary
Results-driven Computational Biology Intern with expertise in developing AI data pipelines and visualizations using Python and R. Skilled in interpreting complex datasets and presenting findings effectively. Strong problem-solving abilities and collaborative approach enhance research outcomes. Proficient in bioinformatics analysis and documentation.
Overview
5
5
years of professional experience
Work History
Computational Biology Intern
Pacific Northwest National Laboratory - Pnnl
06.2025 - 08.2025
- Enhanced metabolomics data analysis efficiency through AI data pipeline creation.
- Developed engaging data visualizations utilizing R programming language.
- Built R Shiny app to streamline future data visualization processes.
- Explored new data integration methods via API utilization.
- Managed Gene Matrix Transposed file types for comprehensive data handling.
- Documented all developed tools on GitHub for user accessibility.
Computational Biology Intern
Pacific Northwest National Laboratory - Pnnl
06.2024 - 08.2024
- Enhanced data understanding by creating visualizations using Python.
- Delivered insightful data interpretations to a team of scientists.
- Organized and collected metadata to improve research efficiency.
- Presented research findings to Principal Investigators in departmental meetings.
Electrical Engineer Intern
Lumistar INC
09.2020 - 12.2020
- Enhanced circuit design and testing for diverse electrical applications.
- Resolved technical issues by collaborating with senior engineers effectively.
- Researched emerging technologies, improving knowledge of best practices in electrical engineering.
Education
Master of Science - Bioinformatics
Johns Hopkins University
Online05-2027
Bachelor of Science - Biology
Washington State University
Pullman, WA05-2025
Minor - Applied Mathematics
Washington State University
Pullman, WA05-2025
Certificate - Quantitative Biology
Washington State University
Pullman, WA05-2025
Skills
- Laboratory safety protocols
- Scientific writing
- Cell culture techniques
- Bioinformatics analysis
- Statistical data analysis
- Programming languages: Python, C, and R
- Problem-solving
- Teamwork and collaboration
- Self motivation
- Adaptability and flexibility
- Organizational skills
- Documentation
Timeline
Computational Biology Intern
Pacific Northwest National Laboratory - Pnnl
06.2025 - 08.2025
Computational Biology Intern
Pacific Northwest National Laboratory - Pnnl
06.2024 - 08.2024
Electrical Engineer Intern
Lumistar INC
09.2020 - 12.2020
Master of Science - Bioinformatics
Johns Hopkins University
Bachelor of Science - Biology
Washington State University
Minor - Applied Mathematics
Washington State University
Certificate - Quantitative Biology
Washington State University