Junior Data Analyst
jobright.com
Join to apply for the Junior Data Analyst role at Jobright.ai Join to apply for the Junior Data Analyst role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Columbia University Irving Medical Center is seeking a Data Analyst I to support translational research on viral infections. The role involves designing and optimizing serologic assays and developing data pipelines using statistical and machine learning methods to understand immune responses to viral infections. Responsibilities:
- Design and analyze high-throughput serological datasets; develop and refine automated analysis pipelines using machine learning/AI methods – 40%
- Perform basic and advanced statistical analysis, including sample size and power calculations for serological studies – 20%
- Generate data visualizations and figures for use in manuscripts, grants, and presentations – 20%
- Provide bioinformatic support for projects involving microbial detection, immune profiling, and virus discovery – 10%
- Conduct quality control and data management tasks for clinical, laboratory, and survey-based datasets – 10%
- Bachelor’s degree or equivalent in education and experience, plus 2 years of related experience
- A Master’s degree in epidemiology, biostatistics, public health, or a related field may substitute for required experience
- Proficiency in R and Python for statistical analysis and modeling
- Familiarity with machine learning tools such as forward selection, XGBoost, Random Forest, and DESeq2
- Experience with phage display systems, peptide microarrays, or multiplex serology
- Background in immunology, virology, infectious disease, or aging research
- Advanced statistical skills (e.g., multi-level models, Bayesian inference, latent class analysis)
- Strong data visualization skills using packages such as ggplot2, seaborn, or matplotlib
- Experience with clinical research databases and data integration
- Familiarity with SPSS is a plus but not required
Vacancy posted 2 days ago
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