Postdoctoral Research Associate
About the Job
A postdoctoral position is immediately available in the Chen lab in the department of Computational Biology to develop and apply computational approaches to understand interactions between genetic alterations and epigenetic deregulations and to discover potential biomarkers for predicting drug responses in pediatric cancers. We are looking for a talented and highly motivated candidate who have a strong background/interest in molecular biology and computational biology. The candidate will work closely with Dr. Chen and staff scientists in his lab with the end goal of contributing to the discovery of novel (epi-)drivers and treatment protocols for pediatric cancers using high dimensional genomic, epigenomic, transcriptomic and proteomic data generated from bulk or single-cell tumor specimens.
The lab will provide working experience for a postdoctoral research associate who is interested in leading or participating in all aspects of cancer omics studies via multi-disciplinary teamwork with mentoring from Dr. Chen and other scientists. The selected candidate will have opportunities to interact with leaders in the fields of pediatric cancer and translational research within and outside the institution. Innovative research leading to high-impact scientific publication is highly encouraged and will be supported by the department’s research infrastructure. For those with ambitious career goals, inter-disciplinary training will be provided to broaden or strengthen computational or biological expertise.
St. Jude provides a highly interactive and supportive environment for researchers’ career development.
The successful candidate will have expertise in 1) cancer biology or molecular biology with a strong interest in quantitative data analysis or 2) expertise in computational biology with a strong interest in cancer research. The candidate is expected to be a critical thinker, a quick learner for new analytical approaches and capable to apply or develop novel computational methods for solving complex problems. Candidates with a recent PhD and evidence of scientific accomplishment are encouraged to apply. Good communication skills and willingness to work in a team environment are essential.
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