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Staff Associate II (Data Analyst)
Columbia University
This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Staff Associate II (Data Analyst) is an exciting one. Columbia University Irving Medical Center, one of the nation?s foremost academic health science centers. The Department of Pediatrics at Columbia University Irving Medical Center is the top in comparison with other pediatrics department in the NY region in NIH research funding. KEY RESPONSIBILITIES A full-time Staff Associaate (Data Analyst II) for Molecular Medicine Learning Healthcare Program is needed to work under limited supervision of the Principal Investigators. Candidate will work with the research team to extract data elements from various sources, clean and develop data systems, perform statistical analyses including analysis using longitudinal data, propensity score and other comorbidity adjustment methods, latent variable analyses, advanced regression techniques including multilevel modeling and survival methods. The candidate will also interpret study results, prepare reports for publication, and train and supervise trainees in computer programming and quantitative skills. Examples of types of projects involve linking and analyzing clinical data from the Epic EHR to genetic, genomic, proteomic and/or metabolomic data from hospitalized children; developing predictive algorithms for in-hospital events; investigating pattens and quality of care for hospitalized children. Ideal candidates will be detail-oriented and passionate about using data to solve problems in research, and able to think creatively and plan strategically. Innovative thinking and a willingness to learn and adopt new technologies will be crucial to success in this role. Come join Columbia University Department of Pediatrics, Division of Critical Care, Hospital and Palliative Medicine.
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Preferred Criteria:
Hiring Salary Range: $75,000 - $90,000 Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure 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. |
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