Job:Computational Biologist or Bioinformatics
0
1
Entering edit mode
6.9 years ago
Lim ▴ 20

Description

The Translational Center of Excellence in Type 1 Diabetes at the University of Pennsylvania has open positions for computational postdocs interested in studying genomics and proteomics of type 1 diabetes. The Center is under the auspices of the Institute for Diabetes, Obesity, and Metabolism (IDOM), and is directed by Klaus Kaestner, PhD, MS, Thomas and Evelyn Suor Butterworth Professor in Genetics.

Penn Medicine is an international leader in diabetes research, with Drs. Kaestner and Naji at the helm of a collaborative group of clinicians and scientists to develop new methods for improving the use of insulin-producing islet-cell transplantation to cure this disease. We are one of the leading centers in the world spearheading this approach, which has already proved effective in clinical trials. The new Translational Center of Excellence will utilize cutting-edge single-cell transcriptomics, epigenomics, and proteomics to study the interactions between immune cells and islets. The research will be supported through a new $12.4 NIDDK grant directed by Drs. Naji and Kaestner to establish the Human Pancreas Analysis Program of the Human Islet Research Network (HIRN).

Qualifications

Individuals should have background in computational biology, computer science, electrical engineering, statistics, or physics. They will optimize and/or develop new analytical approaches to understand epigenomics dysregulation in type 1 diabetes. Preferred but not required qualifications are experience with epigenomics and genomics methods and knowledge of programming in R, Python (or C/C++) and SQL.

Start date

As soon as possible

How to Apply

Applicants are encouraged to send an email to Kaestner@mail.med.upenn.edu to enquire about the details of existing projects and opportunities.

next-generation-sequencing • 1.4k views
ADD COMMENT

Login before adding your answer.

Traffic: 2475 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6