Albert Einstein College of Medicine (Einstein)

Bioinformatics Postdoctoral Position in the area of Computational Genomics and Bioinformatics

Albert Einstein College of Medicine

Bronx, NY, United States

Applications are invited for a bioinformatics postdoctoral position in the area of computational genomics and bioinformatics in the group of Dr. Deyou Zheng at Albert Einstein College of Medicine in New York. The group is interested in the application and development of bioinformatics and genomics methods for mining functional genomics data for studying neural and heart development, psychiatric disorders, and congenital heart defects. The research projects will be focused on constructing gene regulation networks and pathways from integrated analysis of functional genomic data (e.g, RNA-seq, scRNA-seq, ChIP-seq and ATAC-seq) that are related to either mouse or human organ development.

We seek a highly motivated individual with a strong interest in collaborative work and solid experience in bioinformatics and genomics data analysis. A Ph.D. in computational biology, bioinformatics, or related areas is required. Good communication skills is required. An ideal candidate would have demonstrated expertise and track record in computational programming in python and R, statistical genetics, bioinformatics, or systems genomics. Knowledge of biological principles and organ developments will be a strong plus. Although an interest in wet-lab experiments is not a must, the successful candidate is expected to work closely with biological experimentalists.
Interested applicants should email a CV, a description of research interest in relation to the position, and the name and contact information of three references to:
Dr. Deyou Zheng
Department of Genetics
Albert Einstein College of Medicine

Bronx, NY 10461

The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.


Please apply via recruiter’s website.