Grade 104

Job Type: Officer of Administration
Bargaining Unit:
Regular/Temporary: Regular
End Date if Temporary:
Hours Per Week: 35
Standard Work Schedule:
Building: Allan Rosenfield Building
Salary Range: $65,300 - $70,000

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Summary

The Center for Infection and Immunity (CII) at Columbia University Irving Medical Center (CUIMC), Mailman School of Public Health, is seeking a Data Analyst I to support translational research on acute and chronic viral infections focusing high-throughput serology, and reactivation of latent viruses in chronic diseases such as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Long COVID, Alzheimer’s disease, multiple sclerosis, epilepsy, and other neuroinflammatory and aging-associated conditions.

The successful candidate will contribute to the design and optimization of serologic assays/platforms and the development of data pipelines using advanced statistical and machine learning methods. This position supports federally and foundation-funded initiatives applying peptide-based phage display and high-density peptide microarray platforms to understand immune responses to viral infections in both human and animal populations (One Health). The analyst will work under the supervision of CII faculty and closely collaborate with research scientists, statisticians, and clinical investigators across Columbia and partner institutions.

CII is among the world’s leading centers for basic and translational science in infectious and immune-mediated diseases. The ideal candidate will demonstrate strong analytical skills, attention to detail, and the ability to adapt in a fast-paced, evolving research environment.

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%

Minimum Qualifications

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

Preferred Qualifications

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

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

Columbia University Irving Medical Center

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