Postdoctoral Fellow in Genomics

Location
Tampa, Florida
Salary
$48,432 to negotiable
Posted
September 25 2018
Position Type
Full Time
Organization Type
Academia
Job Type
Postdoc

Postdoctoral Fellow in Genomics

University of South Florida

The University of South Florida is seeking a highly motivated, enthusiastic Postdoctoral Fellow to work on multiple interrelated projects focused on genomic analyses of stress-related mental disorders in humans, including post-traumatic stress disorder (PTSD) and depression. The successful candidate will work as part of a multidisciplinary research team to maintain uninterrupted and consistent progress toward the goals of several NIH funded research projects involving genomic analysis of social adversity and traumatic stress in the Genomics Program within the College of Public Health.  Projects will involve computational analysis, integration and modeling of large-scale data genetic, transcriptomic and epigenomic datasets. The Fellow will also have considerable latitude to develop and carry forward new, independent projects.

USF is one of the 10 largest academic institutions in the United States and offers unique opportunities for collaboration with research institutions in Africa, Asia, Latin America and the Caribbean.  USF Genomics represents a consortium of active research programs from different colleges and campuses of USF. Our projects are naturally interdisciplinary and integrate modern genomic approaches to understand and help develop solutions for some of the major challenges affecting global health and especially our Florida community. The University is located in Tampa and is part of the great metropolitan area of Tampa Bay. The city offers year round sunshine on the gulf coast, with a vibrant culture and numerous, beautiful state parks close to the city.

Candidates must have a PhD or equivalent degree in computational biology, bioinformatics, statistical genetics, systems biology or related area and should have experience working with large, high-throughput genomic data sets such as genome-wide association study (GWAS), epigenome-wide association study (EWAS) and Next Generation Sequencing (NGS) data sets. Candidates must also be proficient in one or more commonly used programming language such as R, C++, Python, or Perl.

Preferred Qualifications: Record of academic and research achievements.  Experience integrating multi-omic data and/or genomic and epidemiologic/survey data preferred. Experience with human-based datasets and longitudinal analysis is also desirable.

To apply:  Complete an online application.  Visit http://employment.usf.edu and search for Job ID 18270.  Applicants should submit a current curriculum vitae and cover letter, along with the names and contact information for three references.

Affirmative Action:  USF is an equal opportunity, equal access academic institution that embraces diversity and inclusion in the workplace.