Responsibilities: A Postdoctoral Research Associate is sought to participate in NIH funded research on retrovirus RNA biology. The duties and responsibilities involve molecular virology and chemical biology in cell culture model systems and primary cells. Specifically, the incumbent is responsible to:
•Develop and perform RNA-protein complex characterizations. These entail RNA immunoprecipitations and in situ proximity ligation assay that evaluate RNP components in cells, and bioinformatics evaluations of RNA components. Prior computational expertise will be applied to new RNA seq datasets and to previously published datasets deposited in NCBI sanctioned databases; •Design and execute RNA tertiary structure predication and and analysis in context of RNAprotein complexes significant to cell homeostasis and recovery from stresses, including viral infections. Prior specialized knowledge of nucleic acid biochemistry and posttranscriptional gene regulation is required. •Integration of data from RNA interference and precise quantitation of RNA expression, stability and translational control, which includes polysome profiling and generating RNA seq and subsequent data analysis; •Analyzing literature, preparation of book chapters, authoritative reviews and research manuscripts that are peer-reviewed and published in the primary literature and experience-based design of experiments and predicting pitfalls in context of research grant submissions; •Continually working closely with lab members, the incumbent is a role model for constructive collaboration with other postdoctoral scientists and graduate students. The incumbent will stand out for their passion for discovery science and rigorous experimental acumen in well-controlled experiments and prioritizing reproducible results, qualities that are foundational to our continual record of high quality publications.
Required Qualifications: Doctorate degree and publication record.
Preferred Qualifications: The ideal candidate has a Ph.D. in Microbiology or related field and passion for science writing. Individuals who are self-motivated with computational background are encouraged to apply.
Internal Number: 328271
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