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Please send a letter of interest and curriculum vitae to Dr. Li Ding email@example.com
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Dr. Li Ding
The Genome Institute - Campus Box 8501
Washington University School of Medicine
4444 Forest Park Avenue
St. Louis, MO 63108
Post Doc Instructions:
Please do not submit an application to this posting.� To apply for this postdoctoral research opportunity, follow the directions below in �Applicant Special Instructions�.
This position is eligible for full-time benefits.� Please visit our website at http://hr.wustl.edu to view a summary of benefits for PostDocs.
McDonnell Genome Institute at Washington University is a leader in genomics research as it applies to the study of biology, human disease and the field of personalized medicine. Founded in 1993, McDonnell Genome Institute focuses on cancer genomics, the genomics of heritable diseases, microbial and pathogen genomics, as well as novel sequencing and evolutionary genomics.
Our mission is to help improve the human condition by producing, studying, and interpreting high-quality genome-based data that drives biological discoveries that range from the bench to the hospital bedside. We value the open sharing of information and ideas and encourage collaboration while also engaging the next generation of scientists through educational outreach efforts
Department Name/Job Location:
This position is at McDonnell Genome Institute. This position is for the Medical School Campus.
A postdoctoral research position is available at McDonnell Genome Institute at Washington University School of Medicine in St. Louis in the area of Cancer Genomics. This individual will be responsible for development, implementation, and support of software applications related to variant detection and interpretation from high-throughput experiments involving hundreds of individuals.
Our group’s focus is on translating discoveries from large-scale sequencing into novel hypotheses and medically actionable information. This requires pioneering new software methods that work in tandem with cutting-edge genomic technology to identify variants that contribute to disease, including mutations, gene expression data, epigenetic modification, copy number, and structural variation. These drive more integrated analysis methods that fuel our understanding of biological function at the pathway and cellular levels. Using information from thousands of tumors across dozens of cancer types, we aim to address biological questions that were previously unanswerable about the origins and progression of cancer.
This Postdoc Research Associate requires extensive communication and collaboration with our group of computational biologists, programmers, and clinicians, and includes opportunities to initiate and contribute to publication of novel methodologies and scientific findings.
A PhD in bioinformatics, computational biology or related field, with a solid background in programming and statistics.
Candidates should have 4+ years of experience in molecular biology, genetics, or bioinformatics. The position requires proficiency in programming (Perl, C++), UNIX-like operating systems, and experience with statistical analysis packages (SAS, R, Matlab, or Bioconductor). Applicants are also expected to be familiar with bioinformatics tools and genomics databases. The successful candidate will be self-motivated, eager to acquire new knowledge and skills on a regular basis, and must demonstrate critical thinking skills. The ability to analyze and interpret results and produce scientific publications is required. The ability to communicate well with others and work with teams of software developers and scientists is critical.
The hiring range for this position is commensurate with experience.
This position is full-time and works approximately 40 hours per week.