Postdoctoral Associate Position

Duke University Job Posting:  Postdoctoral Associate

Position Title: Postdoctoral Associate

Department: Department of Medicine, Duke University Medical Center

Job Description:  A postdoctoral fellowship position is available immediately for a highly motivated scientist interested in integrative genomics, utilizing multi-omic technologies to dissect complex human genetic disorders such as chronic kidney disease, as well as neurologic and psychiatric disease.

Next generation sequence technologies have enabled the rapid identification of putative genetic mutations in human disease.  The greater challenge is determining the functional impact of those mutations to understand the pathogenic mechanisms.  One approach is to integrate information from multiple ‘omic technologies such as DNA and RNA sequencing, proteomics and metabolomics.

This is an exciting opportunity to join an interdisciplinary team under the direction of Drs. Opeyemi Olabisi and Allison Ashley-Koch.  Their laboratories are located in the Duke Molecular Physiology Institute which integrates multi-omics technologies to provide insight into disease mechanisms.  The institute houses several shared-resources with cutting-edge molecular and statistical technologies in a state-of-the art Duke facility, located in Durham’s Innovation District.  Through this opportunity, the fellow will develop important skills and knowledge to transition to driving their own independent research program.

Position Requirements: Ideal candidates will have a recent PhD (less than 2 years of postdoctoral experience is strongly preferred) in biostatistics, bioinformatics or statistical genetics, or who anticipate completion of their degree prior to starting the position. Previous experience in molecular biology, or other directly related scientific fields are also desirable.  Excellent communication, organization, writing and data analysis skills are essential as well as a team-oriented attitude.  The project will involve significant data analytic work so knowledge of UNIX/Linux platforms as well as experience with R will be helpful. Experience with high throughput sequencing analysis, particularly scRNAseq and scATACseq is desirable. In addition, the role will require working knowledge of genetic analysis techniques, such as GWAS, and rare variant analysis.

How to Apply:  The positions will remain open until filled. Interested candidates may send their CV with list of publications in PDF format with a brief cover letter describing research accomplishments, future research goals and contact information for three professional references to Dr. Ashley-Koch at and Dr. Opeyemi Olabisi at