Postdoctoral Research Associate - Genetics

Washington University in St. Louis   •  

Saint Louis, MO

Industry: Education.


Not Specified years

Posted 181 days ago

This job is no longer available.

Essential Functions

The Wang lab is seeking a creative, motivated scientist for a postdoctoral position immediately available studying epigenomics in developmental biology, cancer, evolution, and in big bio-data integration (genomic, imaging, etc). The Wang lab leverages large-scale genomic and epigenomic data to make new advances on questions of cell fate acquisition, gene regulatory mechanisms in cancer, and contribution of transposable elements to genome biology, chromatin architecture, and evolution, as well as environmental epigenomics. The lab develops computational and experimental approaches to each of these topic areas. The lab is the home of the WashU Epigenome Browser which provides public access to data generated by large consortiums including ENCODE, Roadmap Epigenomics, and 4D Nucleome Network.

The Wang lab is housed in the Center for Genome Sciences & Systems Biology at Washington University and has the advantages of a large, collaborative center with several core facilities available. A candidate with a collaborative spirit who is eager to take advantage of available resources will thrive.

Required Qualifications

Recent PhD in a relevant field or experience in field.

Preferred Qualifications

Experience in one or more of the following areas preferred:  genetics, genomics, bioinformatics, cancer biology, molecular cell & developmental biology, evolutionary biology, computer sciences, or any other relevant field.

Having many of the following skills will make the candidate ideal and competitive:

  • be creative and skilled at experimental design and data analysis
  • have a strong computational genomics background as well as a broad understanding of developmental biology, cancer biology, and/or evolutionary biology
  • have a strong publishing record
  • have experience manipulating large datasets (genomic data and/or imaging data) and be familiar with bioinformatics tools and databases for genomics and epigenomics research
  • be proficient in R and/or Python or have otherwise strong programming and statistical analysis abilities
  • be proficient in JavaScript
  • work well in a collaborative environment of graduate students, postdocs, and staff scientists
  • have strong verbal and written communication and presentation skills 

Salary Range

The hiring range for this position is commensurate with experience.