The Mayo Clinic in Rochester, Minnesota is a world-class health care institute, with cutting-edge research programs. Our research team is focused on the development of statistical methods for the study of complex genetics of human diseases. The Mayo Clinic offers a rich research experience with outstanding collaborators in statistics, bioinformatics, genomics, and broad expertise in biomedical sciences and medicine.
We are seeking a postdoctoral candidate with a Ph.D. in statistics or biostatistics, and preference for educational training in genetics. The position is for the development, computer programming, and evaluation of statistical methods for multivariate traits in genome-wide association studies. In addition, our team focuses on causal mediation methods, graphical models, and genetic fine-mapping methods. We have the advantage of broad collaborations within Mayo Clinic, as well as international networking. This position requires solid statistical training and strong computer programming skills. It is expected that the candidate will participate in research team efforts, and take the lead on several projects, leading to presentation and publication of results.
Minimum qualifications include a Ph.D. degree in statistics, biostatistics, or a closely aligned quantitative area, with computational experience, as well as excellent written communication skills. Employment start is negotiable, but preferably prior to October, 2019. Generous benefits and salary are provided.
Additional Salary Information: Mayo Clinic offers outstanding medical benefits.
About Mayo Clinic
The Statistical Genetics and Genetic Epidemiology Laboratory of Daniel J. Schaid, Ph.D., at Mayo Clinic performs study design, data analysis, computational structure and evaluation of statistical methods for analyzing the genetic data generated by collaborators both within and outside of Mayo Clinic.
The methodology and software developed and distributed by Dr. Schaid's research team have wide application to the research community at large and to the biomedical field in particular.
The complex genetic bases of common human diseases and traits necessitate the development of new statistical methods to address new questions and new data emerging from ongoing and cutting-edge research.