• Postdoctoral Research Associate

    Job Location US-TN-Memphis
    Computational Biology
    Faculty Member
    Jinghui Baker
  • Summary

    MULTIPLE POSTDOCTORAL RESEARCH ASSOCIATE positions are immediately available in the lab of Dr. Jinghui Zhang, Chair of the Department of Computational Biology for highly motivated and creative candidates. Positions are available in the following focus areas:

    • Developing 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 involve integrating data generated from patient samples and experimental models by whole-genome sequencing, RNA-seq, ChIP-seq, 3D genome, and single cell profiling. 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.
    • Developing a visualization tool for analyzing genetic association with clinical features of pediatric cancer survivors. The candidate will be involved in developing an integrated view of annotated genetic variants from 3,000 long-term pediatric cancer survivors with statistical models on treatment risks. The Zhang lab will provide training and mentoring on genomics, visualization, product development, and project management. The successful candidate will have good programming skills in JavaScript and NodeJS and formal training in one of the following areas: genomics, genetics, bioinformatics, or cancer biology.


    Successful candidates are expected to excel at critical thinking, be quick learners for new analytical approaches, and capable of applying or developing novel computational methods for solving complex problems. Candidates must have a doctoral degree (PhD or MD), an excellent publication record, and great communication skills. 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.

    Interested applicants are encouraged to complete the online application. When applying, please include areas of specific interest in cover letter.

    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. 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.

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


    Contact Information

    Jinghui Zhang, PhD

    Chair, Department of Computational Biology

    St. Jude Children’s Research Hospital

    262 Danny Thomas Place

    Memphis, TN 38105



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