Biostatistics Research Manager, EPID
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This position will be responsible for managing several studies of cardiovascular disease (CVD) and particulate matter (PM) air pollution. The studies converge at the junction of environmental epidemiology, statistical genetics, epigenetics and pharmacogenomics. Management of the multi-institutional studies will involve planning, organizing, developing, and implementing all phases of the research projects directed by the principal investigator, including: Modification of PM-Mediated Arrhythmogenesis in Populations, Epigenetic Mechanisms of PM-Mediated CVD, Ambient Air Pollution and Incident Stroke, and Prospective Meta-Analyses of Drug-Gene Interactions. Management will involve leadership in the assembly, administration, analysis, interpretation, and archival of large clinical, genetic, epigenetic, and environmental data files. Leadership demands active participation in regular team meetings; productive collaboration with senior epidemiologists, statisticians and geographers; and skillful interaction with post-doctoral fellows, graduate students, and other study institutional staff. Professional support provided to all study personnel by the manager will focus on ensuring the availability of accurate, reliable and secure study data; applying state-of-the-science methods in its analysis; and communicating results of the analyses to clinical, public health, and regulatory stake holders. Effective communication skills as well as efficient data administration and statistical analysis competencies are critical to the success of the manager because they will be used in establishing procedures, writing specifications, programming, documenting analyzing data, and preparing manuscripts for presentation and publication. Advanced understanding of epidemiology and biostatistics and practical knowledge regarding their application to the analysis of genome- and environment-wide data with appropriate statistical software is therefore required.
Doctoral or master's degree in biostatistics, epidemiology, bioinformatics, genetics or a closely related field
Qualification and Experience:
Prefer five years experience working with SAS database management and modeling procedures in the Unix Linux and Windows 7 environments. Proficiency in creating, modifying, and maintaining Unix scripts (cshell; perl) to perform database management and statistical analysis in parallel. Familiarity with Probabel and PLINK.
Special Instructions to Applicants:
Applicants should provide a cover letter describing their qualifications; a self-ranking of their SAS skills on a 1-5 scale (beginner to expert); a self-ranking of their unix scripting/parallel processing skills on a 1-5 scale (beginner to expert); salary requirements; and date of availability. Applicants should also provide a curriculum vitae and contact information for at least three professional references.
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The University of North Carolina at Chapel Hill is an Equal Opportunity Employer.
- 2 years ago - save job