Job location: Charlottesville, VA
Employment Type: Full-time
Posted data: 2019-02-19
The Chen lab in the Center for Public Health Genomics at the University of Virginia is seeking to hire a Senior Scientist in statistical genetics to work on developing statistical methods and tools that apply to cutting edge human genetics and genomics research under the supervision of Dr. Wei-Min Chen. Funding for the position is guaranteed for two years, and future availability is based on the contingency of funding.
The successful candidate will join a collegial and productive research team focused on developing the statistical and bioinformatic methods and tools for analyzing large-scale genome-wide sequencing and association datasets. Analytical responsibilities will include development of highly efficient methods/tools for inference of cryptic family relationships, establishment of extended pedigree/lineages, and development of increased power and resolution for mapping common and rare variants that contribute to human diseases. The candidate will be responsible for writing manuscripts describing their work, organizing group meetings, and presenting at national conferences.
Necessary qualifications include a doctoral degree and sufficient experience and background in Biostatistics, Computer Science, Epidemiology, Genetics or other relevant discipline in hand by start date; knowledge of statistics and genetics; experience with programming languages (C/C++ and/or Perl/Python); a strong work ethic; the ability to work independently combined with willingness to work in a highly interactive and collegial group; and excellent written and oral communication skills. Desired qualifications include experience working with large-scale multi-center studies; working knowledge of existing tools for genetic analysis and data management; statistical software (R); and experience working in a Unix / Linux environment.
To apply please attach your CV, cover letter and contact for three references.The University of Virginia, including the UVA Health System and the University Physician’s Group are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.