美国阿尔伯特.爱因斯坦医学院2020年招收博士后

Applications are invited for a bioinformatics postdoctoral position in the area of computational genomics and bioinformatics in the group of Professor Deyou Zheng at Albert Einstein College of Medicine in New York. The group is interested in the application and development of bioinformatics and genomics software and methods for mining functional genomics data for studying neural and heart development, psychiatric disorders, and congenital heart defects. The research projects are relative diverse but have a focus 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. Another project is about motif discovery and thus more methodology. 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. 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. Good communication skills in English is required to be able to work with the team.

The interested applicants should email a CV, a description of research interest and its relation to the position, and the name and contact information of three references to:

Dr. Deyou Zheng

E-mail: deyou.zheng@einsteinmed.org

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. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve.

PI120508139