Computational Biology/Bioinformatics in Single Cell Genomics

University of Pennsylvania

Philadelphia, PA

ID: 7055231
Posted: January 12, 2019

Job Description

A unique post-doctoral opportunity in computational biology, genetics, genomics, epigenetics and single cell biology to investigate the cellular and molecular mechanisms of kidney homeostasis and disease in the laboratory of Dr. Katalin Susztak in the School of Medicine at the University of Pennsylvania.
Applicants with enthusiasm, original ideas and skills who would be able take advantage of the existing resources to answer impactful questions about kidney homeostasis and disease are strongly encouraged to apply. Current lab interests include; 1) single cell analysis of human and mouse kidney tissue samples 2) high through-put genetic, genomic and epigenomic analysis of control and diseased human kidney samples (genotype, ChIP, RNAseq and WGBS data is available for ~1,000 sample), 3, genotype driven gene expression changes 4, PostGWAS annotation of genetic risk loci using integrated computational approaches. Further information can be found at https://www.med.upenn.edu/susztaklab/
RELEVANT PUBLICATIONS: Giri et al. Nature Genetics 2019, Park et al Science 2018, Qiu et al Nature Medicine 2018, Beckerman et al. Nature Medicine 2017 Ko et al AJHG 2017, Kang et al. Nature Medicine 2015,
QUALIFICATIONS: Interested candidates should have Ph.D. and/or M.D. degree with strong background in Computational Biology. The applicant should have record of delivering high-quality research. The candidate will be expected to be self-motivated and develop and run an independent research project and play an active and collaborative role in the laboratory environment.
SALARY/BENEFITS: The position is fully supported by NIH and industry funds and successful candidates will be offered competitive stipend/salary commensurate with experience and accomplishments. Application for post-doctoral fellowships will be encouraged at later years.
TO APPLY: Please email ksusztak@pennmedicine.upenn.edu and provide an updated C.V. or Biosketch and a short personal statement (1-2 paragraphs).



 

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