Advertised Summary Job Description: The Division of General Medicine is seeking a Programmer for the Patient Safety Research Program, which focuses on applying rigorous methods to measure medical errors and evaluate the impact of patient safety interventions. Leveraging Health IT, we conduct federally funded and hospital-supported research projects to test solutions that are replicable, scalable, and make a real difference in improving patient care. We are seeking a Programmer to extract, manage, analyze, and visualize data for research projects conducted by the Patient Safety Research Program. The Programmer will work under the supervision of the Columbia University/NewYork-Presbyterian Hospital Chief Patient Safety Officer, and the Patient Safety Research Program Director. The Programmer will interact with investigators and biostatisticians at Columbia and collaborating sites. Training and one-on-one mentoring will be provided by Senior Programmers with extensive Health IT experience. The Programmer will have the opportunity to participate in important research projects aimed at improving patient safety, as well as co-author peer-reviewed publications related to this research.
The Programmer will perform program queries for data extraction from various clinical databases. Manage and analyze large data sets. Generate meaningful reports and summaries from the data. Develop end-to-end solutions to support real-time evaluation of quality initiatives. Participate in preparation of presentations and publications. Performs additional responsibilities as needed.
General Minimum Qualifications: Bachelor's degree in Computer Science/Engineering, Software Engineering, Information Systems, or related field, plus at least four years of related research and programming experience.
Additional Specific Minimum Qualifications: Master's degree in biostatistics, statistics or public health with emphasis on biostatistics and/or epidemiology would substitute for experience. Ability to independently program and perform statistical analysis in SAS required, in addition to familiarity with MS Office applications. Knowledge of other statistical packages (e.g., Sudaan, genetics packages), longitudinal data analysis, and/or website programming a plus. Must possess good organizational, interpersonal, quantitative and writing skills. Must be able to communicate effectively with investigators and other staff. Must be able to function semi-autonomously.
Preferred Qualifications: Familiarity with scripting languages, such as Python or Ruby. Knowledge of Web Development languages (HTML, CSS, JS), APIs, and web services (SOAP, REST). Experience with CIS and EHR systems.
As a member of the National Collegiate Athletic Association (NCAA) and the Council of Ivy Group Presidents (Ivy League), it is imperative that members of the Columbia University community, in all matters related to the intercollegiate athletics program, exhibit the highest professional standards and ethical behavior with regard to adherence to NCAA, Conference, University, and Department of Intercollegiate Athletics and Physical Education rules and regulations.
Columbia University is an Equal Opportunity/Affirmative Action employer.
Internal Number: 126_173671
About Columbia University
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.