Openings available in the Wang Lab
If you are interested in joining us, please send all inquiries and relevant materials to firstname.lastname@example.org
We are seeking application for multiple postdoctoral researchers to work on any of the following areas:
- 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;
- Algorithm development and analysis for structural variant and copy number variation calling and association from whole-exome and whole-genome sequencing experiments;
- 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 Rebecca Cweibel.
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 Rebecca Cweibel.
Here are projects that are immediately available. We could use your help!
- Developing DNA-seq analysis workflows for structural variations using human and c. elegans data.
- Analyzing DNA-seq datasets for autism, Alzheimer’s disease, and Progressive Supranuclear Palsy.
- Developing RNA-seq analysis workflows.
- 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