Job Description
Job Type: Short Term Casual Regular/Temporary: Temporary End Date if Temporary: Up to one year Hours Per Week: 10 Salary Range: $24.00 Hour to $26.00 Hour 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 We are seeking a motivated, intellectually curious, and detail-oriented CS-Research Assistant. This position provides MS or PhD students in biostatistics or related quantitative disciplines with the opportunity to contribute to investigator-initiated clinical research focused on improving outcomes in patients with heart failure. HFRI studies are investigator-initiated and may be single-site or multicenter, spanning inpatient and outpatient settings. The research assistant will work in close collaboration with and under the supervision of the Institute’s biostatistician, supporting ongoing analytic workflows across multiple clinical research projects. The research assistant will also collaborate with physician investigators, research fellows, clinical research coordinators, a research manager, a regulatory manager, and a data manager as part of HFRI’s multidisciplinary research infrastructure. This role is designed as a mentored, skill-building opportunity within a high-performing academic research environment. Responsibilities Support a variety of clinical and research projects, primarily focused on heart failure Collaborate with researchers to develop statistical analysis plans. Assist in study design for new projects. Perform statistical analyses and prepare reports/summaries. Support database development to streamline data analysis workflows. Perform other responsibilities as assigned. Minimum Qualifications Currently enrolled MS or PhD student in Biostatistics, Statistics, Epidemiology, or a closely related quantitative field Preferred Qualifications Experience with REDCap. Experience working with PHI. Knowledge of regression and survival analysis techniques. Familiarity with medical terminology Other Requirements Strong analytical and problem-solving skills. Proficiency in statistical software (R, Python, SPSS). Ability to work independently and as part of a team. Successful completion of applicable compliance and systems training requirements. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.