Perelman School of Medicine at the University of Pennsylvania

Wang Lab

Openings available in the Wang Lab

If you are interested in joining us, please send all inquiries and relevant materials to

Postdoctoral Researchers

We are seeking application for multiple postdoctoral researchers to work on any of the following areas:

  1. Modeling of gene regulation and enhancer analysis by integrating functional genomics data from public databases such as ENCODE and FANTOM5, and high-throughput genomic assays such as expression QTL, Hi-C, and Capture-C;
  2. Algorithm development and analysis for structural variant and copy number variation calling and association from whole-exome and whole-genome sequencing experiments;
  3. Rare variant discovery using whole-exome and whole-genome sequencing experiments, with focus on Alzheimer’s disease and other neurodegenerative disorders.

The postdoc(s) will collaborate closely with several groups including the Alzheimer’s Disease Sequencing Project (ADSP), NIA Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS), Consortium for Alzheimer’s Sequencing Analysis (CASA), and Alzheimer’s Disease Genetics Consortium (ADGC), and will be jointly mentored by participating faculty members from Pathology (Gerard Schellenberg), Statistics, (Nancy Zhang), Biostatistics and Epidemiology (Adam Naj), and Institute for Biomedical Informatics (Li-San Wang) at University of Pennsylvania.

If you are interested please send a cover letter, your CV and publication list to Alexis Lerro.


Graduate Students Enrolled at Penn

If you are interested in rotation, independent study, thesis, or research projects, please contact PI Li-San Wang for appointments, so I can learn more about your interests and discuss possible research topics with you. Please cc Michelle Moon

Here are projects that are immediately available. We could use your help!

  1. Analyzing DNA-seq datasets for Alzheimer’s disease, and Progressive Supranuclear Palsy.
  2. Developing single cell flow cytometry, RNA-Seq and epigenomics analysis workflows.
  3. Integrating multiple genomic experimental data to identify functional elements using machine learning approaches.

The projects will require some programming skills, some basic concepts of biology and likely some mathematics and statistics. You will also have opportunities to collaborate with experimental biomedical researchers.


Prospective Applicants to PhD Programs

The admission decisions are made by the BGS and GCB admissions committees, not individual labs. Please do not ask whether our lab can admit you until you have been admitted officially by GCB. Please check the GCB program website for more information.

For students interested in the CIS PhD program: if you are interested in bioinformatics and computational biology, please also consider the GCB program.  If you are concerned if you have enough background in bioinformatics or biology, feel free to contact the GCB coordinator by email.


Undergraduate and Master Students

Please contact PI Li-San Wang and cc Maureen Kirsch if you are interested in doing some research in our lab. You have to be willing to commit at least 10 hours each week for at least a year.