St. Jude Children's Research Hospital·Memphis, Tennessee
Design and conduct experiments to investigate the mechanisms of chimeric transcriptional factors in rhabdomyosarcoma. Evaluate the preclinical efficacy of immunomodulators and collaborate with a multidisciplinary team of biologists and clinicians.
The Yang Lab in Department of Surgery at St. Jude Children’s Research Hospital is seeking a highly motivated Postdoctoral Fellow to join our translational research team.
The research focuses on understanding the novel functions of fusion transcriptional factors in rhabdomyosarcoma. This work is highly mechanistic and translational, leveraging cutting-edge genetic, epigenetic, cellular and pharmacologic tools to inform better therapies using human and genetic models.
Key Responsibilities
Design and conduct experiments investigating the mechanism of chimeric transcriptional factors in regulating gene transcription.
Evaluate preclinical efficacy of immunomodulators and the underlying mechanism.
Collaborate within a multidisciplinary team including cancer biologists and clinicians.
Present findings at national and international meetings and contribute to manuscript preparation and grant proposals.
St. Jude is an Equal Opportunity Employer [https://www.stjude.org/jobs/hospital/workplace-policies.html]
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Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities.
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Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St.
Jude.
Requires a Ph.D. in molecular biology, cancer biology, or a related field with a strong publication record. Experience with mouse models and genome editing is considered a plus.
Market context
In Tennessee, postdoctoral research associate roles in surgery are typically driven by academic medical centers and translational research programs, with demand tied to active lab funding and clinical research pipelines. Competition is strongest for candidates with a Ph.D., a strong publication record, and hands-on experience in mouse models or genome editing. Before applying, compare the AI-summarized requirements and benefits here with the original posting so you can quickly confirm fit and save research time.