Founded in 1955, the Albert Einstein College of Medicine (Einstein) is one of the nation’s premier institutions for medical education, basic research and clinical investigation. A full-time faculty of some 2,000 conducts research, teaches, and delivers health care in every major biomedical specialty. The college has some 730 medical students, 193 Ph.D. students, 106 MD/Ph.D. students and 275 postdoctoral fellows.
Einstein’s major strength, in addition to training physicians and scientists, is its science. During fiscal year 2015, the faculty’s consistently high level of scientific achievement resulted in the awarding of more than $150 million in peer-reviewed grants from the National Institutes of Health (NIH).
Einstein is part of Montefiore Medicine Academic Health System, an integrated academic delivery system comprising seven campuses, including 8 hospitals, a multi-county ambulatory network, a new state-of-the art “hospital without beds”, a skilled nursing facility, school of nursing, home health agency, and the state’s first freestanding emergency department. As the University Hospital for the Albert Einstein College of Medicine, Montefiore is a premier academic health system, employing Einstein’s clinical faculty and training Einstein’s medical students, over 1,300 residents, 420 allied health students, and 1,600 nursing students annually.
The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve.
B’N Fit POWER is a wellness program that integrates existing school wellness promotion activities, the Montefiore School Health Program (MSHP) – a network of school-based health clinics, and the Mosholu Montefiore Community Center (MMCC) – a network of after-school programming, to promote health and build on the resilience of the adolescents.This study is a quasi-experimental trial of B’N Fit POWER and will compare students receiving B’N Fit POWER (Group 1) to two comparison groups: one from the same school receiving standard of care (Group 2) and, to assess the external validity of Group 2 in terms of characteristics and outcomes, an additional group from another school also receiving standard of care (Group 3) to address the following specific aims: 1) Determine whether B’ N Fit POWER is effective in improving fitness, healthy weight attainment, and 7 target behaviors; 2) To assess the impact of moving the B’N Fit program into a school setting on participant engagement; and 3) To assess the mediating pathways associated with program effects.
Describe the nature of the training program: This program provides experience working on a school-based intervention that aims to promote resilience and prevent obesity related co-morbidities for impoverished racial/ethnic minority Bronx youth who are at increased risk for diabetes.
Describe how this experience will benefit the Student : The student will gain skills in data management, team work, and increased understanding of study methodology and data analysis.
The Student Trainee will assist with managing a database which incorporates study data, including participant, after-school staff, and school data. This individual's responsibility will be to assist with merging study files, conducting quality control queries, and provide weekly and monthly reports. The Student Trainee will meet with the study PI, Dr. Rieder, bi-weekly to review database completion progress and quality. He/she will work closely with Dr. Rieder, Dr. Heo and the NY Regional CDTR biostatistical services in the analysis of data.
Currently in Master's program in a relevant major and related experience is required. Skills and Competencies Proficiency using statistical software and experience with Microsoft Office specifically Excel required.