Company:  Confidential

Job Title: Postdoctoral fellow at the University of Pennsylvania

Job Number: 71512

Location: Philadelphia, US

Job Description

Postdoctoral positions at the Penn Epigenetics Institute: Philadelphia, PA, United States

Multiple postdoctoral positions for dry (computational), wet (experimental), or hybrid biologists are available in the lab of Dr. Golnaz Vahedi at the University of Pennsylvania.The Vahedi lab is multidisciplinary, integrating cutting-edge experimental and computational approaches to develop a mechanistic understanding of cell fate determination in the immune system. Further information about our science could be found at http://vahedilab.com/  and some examples of the lab’s social events can be found https://www.instagram.com/vahedilaboratory/ .

The Vahedi lab’s productivity has been recognized by the Burroughs Wellcome Fund, Chan Zuckerberg Initiative, the Sloan Foundation, W. W. Smith Charitable Trust, and the National Institutes of Health including 4D Nucleome Network and the HIRN Consortium. We are affiliated with the Department of Genetics, the Epigenetics Institute, and the Institute for Immunology and Immune Health, Perelman School of Medicine at the University of Pennsylvania.

Our major contributions to the field include:

1. Gene dosage control through multi-enhancer hub formation
https://www.cell.com/immunity/fulltext/S1074-7613(23)00221-2

2. Intrinsically disordered domain of TCF-1 acting on the chromatin:

https://www.nature.com/articles/s41590-023-01599-7

2. Role of TCF-1 promoting chromatin intermingling:
https://www.nature.com/articles/s41590-022-01232-z

3. Genome misfolding in type 1 diabetes
https://www.cell.com/immunity/fulltext/S1074-7613(20)30030-3

4. TCF-1 as a pioneer factor in T cells
https://www.cell.com/immunity/fulltext/S1074-7613(18)30033-5

Experimental candidates are required to hold a PhD in biomedical sciences and track-records in molecular biology, immunology, or biochemistry. Experience with latest genomics and/or imaging technologies will be viewed favorably. Potential training opportunities in computational sciences exist for the experimental trainees.

Computational candidates are required to hold a PhD in engineering, physics, computer science, or related quantitative programs. Expertise with the Linux environment and programing in Python and R are required. Trainees with track-records in machine learning or statistics are encouraged to apply. According to the new NIH guidelines starting salary for this position is $70,000.

Interested applicants should submit a CV to [Please click the Apply button for the link or email]

 

 

Application Deadline: 2024-03-15

 

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