Please email the application materials to Hua (email@example.com), with the heading "Statistical genetics postdoctoral fellow application." Applications will be considered on a rolling basis. The position is available immediately with flexible starting dates for a 2-year appointment with possibility of extension.
Two statistical genetics postdoctoral positions are open in Dr. Hua Tang’s group in the Department of Genetics, Stanford University. We are interested in a broad range of questions related to the genetic architecture of complex traits, to the regulation of gene expression at RNA and protein levels, and to human evolutionary history. We tackle these problems by developing novel statistical and computational methods and applying these methods to large-scale data. A focus of ongoing projects is to integrate multi-omics data, such as RNA expression or proteomics data, for the interpretation of genome-wide association studies (GWAS). Our group is exclusively computational, but we collaborate closely with several experimental groups. Depending on the nature of the research interests, jointly mentored projects can be arranged.
- Motivation, creativity, independence, collegiality & effective communication skills are strongly valued in the lab
- Candidates should have a PhD in a relevant quantitative field, such as statistics, biostatistics / bioinformatics or computer science
- Candidates with a background in the biological sciences and demonstrated quantitative skills are encouraged to apply
- Strong programming skills are essential, and should include R and at least one scripting languages (e.g. Python or Perl)
- Enthusiasm in research in genomics or population health
- A brief description of prior research experience and your goals / interests for postdoctoral training
- Contact information of two references
- Optionally you may include one of your favorite publications