We are seeking a highly motivated postdoctoral fellow to join the Genetic Epidemiology or Statistical Genetics group at the Vanderbilt Epidemiology Center and the Center for Human Genetics Research (CHGR) at Vanderbilt University Medical Center. We have multiple positions available. An ideal postdoctoral fellow (s) will have some experience conducting large-scale genetics analysis with a diverse data types such as GWAS data, whole exome chip data, or sequencing data (whole exome, genome, or targeted).
Current disease-focused projects include studies of uterine fibroids, blood pressure traits, and cancer in racially diverse populations. A significant portion of the research conducted in our lab focuses on understanding the role of race and ancestry in genetic risk for complex disease and utilizes large clinical databases that link clinical information to DNA. There are multiple opportunities to lead projects and to participate in large-scale consortium studies. The projected start date would be in late spring or early summer of 2015.
- PhD in Human Genetics, Epidemiology, Statistical Genetics, or related field
- Strong background in genetic analysis (e.g. GWAS, CNV, or sequencing data)
- Experience analyzing sequencing data and familiarity with sequencing analysis pipelines is preferred but not required
- Familiarity with statistical software and programming languages (e.g.Stata, R, SAS, SPSS) and UNIX operating system
- Familiarity with PLINK, IMPUTE2, SNPtest, and admixture mapping genetics analysis software is desirable but not required
- Ability to learn new techniques and implement new software tools
- Strong initiative, multitasking ability, and able to lead projects
Interested applicants should send a curriculum vitae with the contact information of three references by email to email@example.com or by mail to:
Digna R Velez Edwards
Vanderbilt Epidemiology Center
2525 West End Ave, Suite 600, 6th floor
Nashville, TN 37203
Vanderbilt is an equal opportunity employer. Women and minorities are encouraged to apply.