Postdoctoral Scholar

The Yang Lab is seeking self-motivated individuals with strong background in genomics to study genome instability of cancer. The main goal of the lab is to dissect the molecular mechanisms leading to somatic alterations, identify disease-causing events, and understand how the genetic alterations affect treatment response by combining computational and experimental approaches.

The Yang Lab is recruiting a postdoctoral scholar in computational biology. The PI, Dr. Lixing Yang is an Associate Professor at the Ben May Department for Cancer Research and the Department of Human Genetics. To learn more about the PI’s research, please visit .

The University of Chicago is a global leader in biomedical research and offers unique opportunities for multidisciplinary collaboration. The Biological Sciences Division, the Physical Sciences Division, the Pritzker School of Molecular Engineering, and the University of Chicago Medical Center are all contained within one compact campus. The University and the Comprehensive Cancer Center operate a number of state-of-the-art core facilities including microscopic facility, genome sequencing facility, animal facility, Biostatistics Laboratory, Human Tissue Resource Center, cancer biobank, the Genomic Data Commons () and many others.

Responsibilities:

The applicant will have the opportunities to tackle cutting edge problems in biomedical field, interact with world class scientists, and gain experiences and develop skillsets for their next career stage. The computational biologist is expected to develop new computational algorithm(s), perform data analysis, collaborate with biologists and physicians. He or she will lead multiple projects, work in a multidisciplinary environment and present/publish the results in scientific conferences/journals.

Qualifications:

• Ph.D. in genomics/computational biology/bioinformatics/statistics/computer science or related discipline
• Experiences in Unix/Linux shell
• Proficient in at least one of the following programming languages: C++, PERL, Python, R, Java
• Experiences with high-throughput sequencing data (WGS, WES, RNA-Seq, ChIP-Seq) analysis
• Excellent oral and written communication skills
• Experiences in one or more of the following fields preferred, but not required: epigenetics, evolutionary biology, systems biology To apply, please email your CV, two representative publications, contact information for three references to the PI Dr. Lixing Yang ( [email protected] ).

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