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Postdoctoral Fellow-Cardiovascular Sciences

Employer
Houston Methodist Academic Insistute
Location
Houston, Texas (US)
Salary
Commensurate with Experience
Closing date
Aug 7, 2022

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Discipline
Health Sciences, Cardiovascular
Position Type
Full Time
Job Type
Postdoc Fellowship
Organization Type
Healthcare/Hospital
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Dr. Guangyu Wang’s Lab within the Department of Cardiovascular Sciences in Houston Methodist, Weill Cornell Medical College is seeking a self-motivated, skilled postdoctoral associate with a Ph.D. in the fields of bioinformatics, computational biology, statistical genetics, or RNA biology. We develop and apply computational technologies to functionally interpret large genomic datasets to uncover key disease mechanisms and discover novel therapeutics such as RNA therapeutics.

The successful applicant will join a collaborative, interdisciplinary team and perform cutting-edge basic and/or translational research. The candidate will work closely with computational and molecular biologists in the lab to novel algorithms and computational tools or help relate the data analyses to known biological principles of cell state shifting and epigenetic regulation mechanism. The general research theme is to tackle biological problems with advanced computational and statistical methods. This position offers an exciting opportunity to involve in the age of biological “big data” and to contribute to the current revolution in our biological understanding of human diseases and tissue development.

 

Responsibilities:

  • Development, publication, and implementation of novel quantitative methods for basic and/or translational biology.
  • Presentation of results to collaborators and scientific audiences comprising broad backgrounds (quantitative, computational, and biological).
  • Analyze, evaluate, and organize research data.
  • Performs other duties as assigned by the Principal Investigator.

Qualified candidates should have:

  • A Ph.D. in Bioinformatics, Biostatistics, Computer Science, Biology or a related field. Proficiency with programming and scripting languages appropriate for scalable data analysis (e.g., Python, R, Unix, or the likes). Experience with single cell data analysis and/or epigenetics data is a plus. Experience in the fields of deep learning is a plus. Excellent oral and written communication skills. Creative, highly motivated, independent. Ability to work with both computational and experimental scientists in a multidisciplinary team. Ability and will to drive and lead a project.

Required application documents
Please send the following documents to Dr. Guangyu Wang (gwang2@houstonmethodist.org):

  • Cover Letter or research statement
  • Curriculum Vitae
  • List of 3 References (please do not have referees send unsolicited letters of recommendation)
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