The Richard M. Fairbanks School of Public Health is inviting applications for a Postdoctoral Research Fellowship in genetic epidemiology, statistical genetics or related fields with an interest in diabetes. The research focuses on translational genomic epidemiology of diabetes, including type 2 diabetes and gestational diabetes. The successful candidate will have the opportunity to work with a large portfolio of genomic data (genome-wide sequencing and genotyping, methylation, metabolomics, RNA-seq, and proteomic data) and translational data (clinical utility of genetic risk disclosure) to develop their own research projects, and to participate in large-scale international and local collaborations. Ongoing projects include whole genome-/exome- sequence association analysis, genome-wide association studies (GWAS), integrative genomic analyses, and translational/clinical utility research studies. The candidate will also help develop and implement statistical/computational methods for analysis of genomic data e.g., whole genome sequence analysis, integrative genomic data approaches, rare variant analysis, annotation, pathway- and genetic network-based analysis, disease risk prediction using genetic marker data. Projects can be tailored to suit the candidate’s research interest and expertise. We offer an excellent team-oriented research environment and opportunities for career advancement.
The ideal candidate has a PhD or equivalent doctorate, a strong background in genetic epidemiology, epidemiology, statistical genetics, bioinformatics, computational biology or a related discipline and has demonstrated scientific productivity. Applicants should have a strong computational background, expertise with statistical genetic/bioinformatic software packages applied to large genomic data sets. Ability to work within a UNIX or LINIX OS and standard statistical software (R and SAS) is required. The applicant must be familiar with approaches to integrate genomic information from a wide-range of data resources. Research experience in analysis of large-scale genomic data and/or the genetics of diabetes or cardiovascular disease is a strong advantage. Skills in translational research are preferable but not required.
About the campus: The Richard M. Fairbanks School of Public Health is located on the IUPUI campus in Indianapolis, Indiana. The IUPUI campus is the focal point of health sciences research and health professions education at IU, which includes the School of Medicine, School of Nursing, School of Health and Rehabilitation Sciences, and School of Dentistry. To learn more about the Indiana University Richard M. Fairbanks School of Public Health: http://www.fsph.iupui.edu
About the Community: Indianapolis, known as the “Crossroads of America,” is a thriving economic and cultural metropolis. The city and surrounding areas offer an exceptionally high quality of life including access to museums, cultural districts, excellent dining, professional sporting events, and historic sites. Indianapolis offers A-rated schools in both its central urban areas (public and private), as well as in surrounding suburban neighborhoods. Several suburbs are regularly voted “best places to live in America” by various national news sources. Residents enjoy a relatively low cost of living, safe neighborhoods, easy commutes, access to a newly remodeled award-wining International Airport, and emerging eco-friendly options such as downtown bike shares and electronic car rental.
Indiana University is an EEO/AA employer, M/F, D. FSPH is committed to building a diverse faculty and encourage applications from minorities and women.
Inquiries about this position should be sent to Dr. Jennifer Wessel, firstname.lastname@example.org or via mail at:
Department of Epidemiology
Indiana University Richard M. Fairbanks School of Public Health
410 W. 10St. Suite 3100
Indianapolis, IN 46202
Application should be submitted online at http://indiana.peopleadmin.com/postings/7614. A cover letter, curriculum vitae, summary of research interests and list of three references is required.