Working Title: Biostatistician
Position Type: University Managerial and Professional Staff
Department: Cardiovascular Research Center
Posting Date: 11-01-2018
The Robert M. Berne Cardiovascular Research Center (CVRC) is currently seeking a Biostatistician to collaborate with assigned research faculty members and other investigators in the CVRC on multiple clinical and basic science research projects. This position entails project data analysis, including designing, writing, and testing complex statistical analysis for various biomedical problems and data sets. Incumbent will also provide statistical genetic/biostatistical/and -omics consulting and project support, as well as verbal and/or written project status reports, and may be asked to author sections of publications or grant proposals.
This is a professional staff position in the CVRC. The selected candidate participates in research conducted through the Owens Lab and across other labs within the CVRC and SOM departments, as necessitated. The individual in this position is expected to be sufficiently mature and senior to manage his/her time with minimal supervision. The individual also must be able to prioritize between multiple concurrent tasks as research needs and study demands dictate; have a strong work ethic; and the ability to work independently combined with willingness to work in a highly interactive and collegial group. Individual will meet biweekly to provide a status review of his/her work and joint determination of overall priorities with assigned supervisory faculty.
Candidate must have a Master's degree in statistics, biostatistics, bioinformatics or computer science, and a minimum of five years of experience in biostatistical/bioinformatics applications. A Doctoral degree in a related discipline (e.g. Biostatistics, Epidemiology, Statistics, etc.), is preferred. If doctoral candidate then at least two years of genomic/bioinformatics research related experience is preferred and may substitute for the five years of experience. Desired qualifications include experience working with large-scale multi-center studies; experience with statistical software (R, Splus, Matlab, Prism); C, C++, Python, and/or Perl programming skills; and experience working in a Unix / Linux environment.
This position is restricted and contingent upon the continuation of funding.
Required Knowledge, Skills and Abilities:
Strong communication, analytical, interpretive, collaborative, technical documentation skills. Ability to design, write, and test complex statistical analysis programs.
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