Postdoctoral Research Associate

US-TN-Memphis
ID
38173
Department
Computational Biology
Faculty Member
Jinghui Baker

Summary

A postdoctoral research associate position is immediately available in the lab of Dr. Jinghui Zhang, Chair of the Department of Computational Biology, for a highly motivated candidate to develop genetic prediction models for identifying patients at the highest risk for treatment-related complications. This project is a collaboration between Dr. Zhang and Dr. Yutaka Yasui in the department of Epidemiology & Cancer Control. The postdoc will develop innovative analytical approaches for studying the haplotype structure of pediatric cancer survivors using genomic sequencing data generated from long-read technology. This postdoc position will be jointly supervised by Drs. Zhang and Yasui and mentored by Dr. Zhang and senior-level scientists in her lab in areas of cancer genomics, clonal evolution, visualization, mathematics and software engineering. Current analytical approaches involves integrating data generated from patient samples and experimental models by whole-genome sequencing, RNA-seq, ChIP-seq, 3D genome, and single cell profiling.

 

Recognized as a world leader of genomic research in pediatric cancer, the Zhang lab has led the characterization of the genomic landscape for over 20 subtypes of pediatric cancers with high-impact publications in Nature, Nature Genetics, Nature Methods, JAMA, Cancer Cell, and NEJM in the last five years (http://www.stjude.org/zhang). The lab has a well-established track record of developing and publishing novel and high-impact analytical and visualization tools for cancer genomic research. Research in the lab is facilitated by access to the wealth of high-quality data, state-of-art high performance computing facility, robust analytical pipelines, latest laboratory technology and scientific expertise in genomics, cancer biology, and mathematics and computer science.

 

The lab will provide working experience for a fellow who is interested in leading or participating in all aspects of cancer omics studies via multi-disciplinary teamwork with mentoring from our senior-level scientists. Each fellow 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 lab’s research infrastructure. For those with ambitious career goals, inter-disciplinary training will be provided to broaden or strengthen computational or biological expertise. The appointment will be for 2-5 years, depending on the candidate’s goals, qualifications, and productivity.

 

 St. Jude provides a highly interactive and supportive environment for researchers’ career development.

Minimum Education

The successful candidate will have a strong interest in quantitative data analysis with formal training in one of the following areas: genomics, bioinformatics, computer science, genetics, or cancer biology. Computer programming skills are preferred and interest or experience in genome assembly is a plus. 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. Candidate must have a doctoral degree (PhD or MD), an excellent publication record and great communication skills.

EEO

St. Jude is an Equal Opportunity Employer

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