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Research Data Analyst - Johns Hopkins University
Data Analyst
Data‑driven analyst supporting metabolomics, proteomics, and epidemiology studies, leveraging R, SAS, and SQL to manage, clean, and analyze complex datasets for public health research.
About the role
Key Responsibilities
- Design, implement, and maintain data pipelines for metabolomics, proteomics, and nutritional epidemiology datasets.
- Perform advanced statistical analyses using R and SAS to support cohort studies on chronic disease risk.
- Collaborate with biostatisticians and epidemiologists to develop study protocols and data collection tools.
- Ensure data quality through rigorous validation, cleaning, and documentation processes.
- Generate reproducible reports and visualizations to communicate findings to multidisciplinary teams.
Requirements
- Master’s degree in Epidemiology, Biostatistics, Bioinformatics, or related field.
- 3+ years of experience analyzing high‑dimensional biological data.
- Proficiency in R, SAS, and SQL for data manipulation and statistical modeling.
- Strong understanding of cohort study design and chronic disease epidemiology.
- Excellent communication skills and ability to work collaboratively in a research environment.