Postdoctoral Fellow/Research Scientist in Spatial Transcriptomics

Icahn School of Medicine at Mount Sinai
Genetics and Genomic Sciences
United States New York New York
gcyuanlab.org

Description

The Icahn School of Medicine at Mount Sinai is an international leader in medical and scientific training, biomedical research, and patient care. It is also where world-class data scientists and clinicians work closely together toward precision medicine.

Dr. Guo-Cheng Yuan lab has recently relocated from Harvard Medical School to Icahn School of Medicine at Mount Sinai. We are looking for highly motivated and collaborative computational biologists to join our interdisciplinary team to study the systems biology underlying development and diseases. We are specifically recruiting postdoctoral fellows and programmers to develop innovative computational methods and user-friendly software packages in single-cell and spatial transcriptomics. These fields have grown rapidly in recent years and intersect with numerous biological and disease areas. Our lab has been a leader in these fields and developed a number of powerful computational tools such as SCUBA, GiniClust, and Giotto. We also have close collaboration with a number of world-leading experts in single-cell and spatial transcriptomic technology development and in cancer immunology. Applicants interested in applying traditional genomic technologies in cancer and neurological diseases will also be considered. The new members will have the opportunity to develop cutting-edge computational methods with the help of experienced mentors and colleagues, while at the same time working with physicians to translate technology advances to medicine.


Qualifications

The candidate should hold a PhD degree in a quantitative field, have strong analytical and programming skills, and have prior experience in analyzing omic-scale datasets. Experimentally trained candidates who have strong bioinformatic skills and biological knowledge are also encouraged to apply. The successful candidate should be able to work independently and communicate effectively, while being an excellent team member.


Start date

As soon as possible

How to Apply

Send Email. Please include a CV and two references.


Contact

Guo-Cheng Yuan
guo-cheng.yuan@mssm.edu