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USD 20 /hr

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Hire Seoyeon C.

South Korea

USD 20 /hr

Biomedical Data Analyst | RNA-seq, Data Cleaning/ preprocessing, Feature Selection (R/Python)

Profile Summary

I specialize in biomedical data analysis and RNA-seq/transcriptomics/Proteomics workflows with a focus on Alzheimer’s disease biomarker discovery. My work involves end-to-end analysis of transcriptomic datasets, including RNA-seq preprocessing, spatial transcriptomics data preprocessing, differential expression analysis, feature selection, and machine learning-based biomarker discovery. I have experience working with GEO and SEA-AD datasets and applying methods such as WGCNA, PCA-based feature expansion, and Elastic Net modeling for robust biomarker identification. Currently, I am working on integrating multi-omics data (bulk RNA-seq, spatial transcriptomics, and single-nucleus RNA-seq) to understand disease mechanisms and patient stratification. Technical skills: - R (limma, WGCNA, glmnet, GSVA) - Python (data processing, ML pipelines) - Data preprocessing, normalization, batch correction - Feature selection and dimensionality reduction I am particularly interested in: - Biomedical data preprocessing and cleaning - multiomics analysis - Machine learning model development for clinical data I can help with: - RNA-seq data preprocessing and analysis (GEO datasets) - Feature selection and biomarker identification - Cleaning and structuring messy biomedical datasets - Building reproducible analysis pipelines in R/Python I focus on building reproducible and well-structured pipelines that can be directly used in research or publications. Selected projects and reproducible pipelines: https://github.com/cathy7459

Subject Matter Expertise

• ★ Omics
• ★ Data Analysis
• ★ Data Cleaning
• ☆ Biostatistics
• ☆ Molecular Biology
• ☆ Transcriptomics
• ☆ Proteomics
• ☆ RNA Sequencing
• ☆ Machine Learning
• ☆ Statistics
• ☆ Health Data Analysis
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Python
• ☆ R
• ☆ Complementary & Alternative Medicine

Services

• Data & AI

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Processing

Work Experience

sophomore

Ewha Womans University

- Present

Computational Biology Research Assistant

Yonsei University College of Medicine (Severance Hospital)

April 2026 - June 2026

Education

BSc in Statistics & Computational Medicine (Biomedical Data Analysis Focus)

Ewha Women's University - Korea, Republic of

March 2023 - Present

Certifications

• Certification details not provided.