University of Rochester Sr Assoc in Rochester, New York

Opening

Full Time 40 hours Grade 000 Biostatistics and Computational Biology

Opening

Under general direction and with latitude for independent judgment and initiative, the successful candidate will serve as a critical resource for the Department of Biostatistics & Computational Biology, providing direct biostatistics analysis support, consultation, statistical programming, and data management to collaborative research projects between the Department of Biostatistics and Computational Biology and other departments, centers and divisions at the University of Rochester Medical Center (e.g., the Division of Cardiology, the Clinical Trials Coordination Center, and the Center for Health and Technology). The candidate will work collaboratively with faculty and staff in support of the conduct of translational and clinical research studies.

Job Responsibilities:

(1) The candidate will provide support to study investigators through consultation and collaboration in the development and implementation of both randomized and observational study designs, analysis/evaluation of study endpoints for appropriate statistical methods, and where required, calculation and justification for study sample size (power analysis).

(2) The candidate will prepare study analysis plans and perform periodic reporting and analyses as warranted by the study guidelines. The candidate will create specialized reports related to studies based on parameters provided by study researchers as warranted.

(3) The candidate will clearly present statistical methods, results, and conclusions to study teams of multi-disciplinary investigators, and materially participate in the analysis and writing phases of relevant statistical sections of peer-reviewed research manuscripts and extramural grant proposals.

(4) The candidate will perform data analysis, such as univariate descriptive statistics, testing group differences, fitting generalized linear and mixed effects models, survival and longitudinal data analysis, checking model assumptions, creating summary tables and plots.

(5) The candidate will provide statistical programming in SAS, working with large databases of different formats to combine and transform them into analysis datasets and will maintain codebooks and documentation of all dataset activities.

(6) The candidate will develop and implement standard quality and logic checks to validate data accuracy; and work with research clinic and labs to correct data errors and maintain documentation in database for easy referencing to ensure consistency in the decision making process.

(7) Educate graduate students, fellows, and residents on principles of proper study design, associated methods of analysis, use of statistical software, and reporting of results through workshops, consultation and collaboration.

REQUIREMENTS: A master's degree in Statistics or Biostatistics or Medical Statistics, or an advanced degree in a related discipline, is required. At least 5 years of related experience in managing, merging, and analyzing data, statistical consultation and project management experience preferred. Knowledge of statistical research principles, methods, procedures, sampling methods, and standards is required. Prior experience in a biomedical research environment is preferred. High proficiency in statistical analyses and a strong background in SAS statistical programming is required. Experience with MS Excel, and other statistical programing packages, especially R, is preferred. Excellent written and verbal communication skills, time management skills, and ability to both work autonomously and to interact with an interdisciplinary team of investigators and staff of all levels in a professional manner is required.

Interested individuals should apply on-line to Job posting #210826 at http://www.rochester.edu/working/hr/jobs/

EOE Minorities/Females/Protected Veterans/Disabled

Job Title: Sr Assoc

Location: School of Medicine & Dentistry

Job ID: 210826

Regular/Temporary: Regular

Full/Part Time: Full-Time