Staff Scientist - Cancer Research and RNA-Based Therapeutics

City of Hope

$90K — $130K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. and/or M.D. in relevant fields
  • Strong background in RNA biology and RNA-based therapeutics
  • Extensive experience in epitranscriptomics and chromatin remodeling
  • Proven track record in drug discovery and delivery
  • At least three years of postdoctoral research experience
  • Familiarity with immunology, tumor microenvironment, and structural biology

Responsibilities

  • Conduct experiments utilizing mRNA-based technologies
  • Develop lipid nanoparticle (LNP) systems for drug delivery
  • Perform advanced sequencing techniques such as RNA-seq and single-cell sequencing
  • Engage in pre-clinical drug testing using xenotransplantation models
  • Utilize Flow cytometry and mass spectrometry for quantitative analysis
  • Analyze clonal evolution of cancer through whole exome sequencing
  • Implement various techniques including ChIP-seq and PAR-CLIP-seq

Benefits

  • Comprehensive health insurance
  • Retirement savings plan
  • Paid time off and holidays
  • Opportunities for continued education and professional development
  • Access to research resources and facilities
Full Job Description
The laboratory of Dr. Jianjun Chen is in search of a talented Staff Scientist. Our group is interested in discovering novel genetic and epigenetic regulations and deciphering their underlying molecular mechanisms in normal developmental processes and tumorigenesis. Our research spans multiple areas, including RNA Biology, Cancer Biology, Chromatin and Epigenetic Regulation, Cancer Metabolism, Immunology, Drug Discovery and Development, and Structural Biology, with a particular emphasis on RNA epigenetics/epitranscriptomics (RNA modifications) and RNA-based therapeutics. A major focus of our translational efforts is the development of mRNA-based therapeutics, particularly in vivo CAR-T/NK/Macrophage technologies and cancer mRNA vaccines, as well as epitranscriptomics-based biomarkers for cancer diagnosis, prognosis, and therapeutic response prediction. Our research involves experiments with RNA Biology, RNA modifications/editing, mRNA-based therapeutics, lipid nanoparticle (LNP) and alternative delivery systems, targeted delivery, cancer immunology, auto immune disease, primary human cancer cells, cancer and stem cell transplantation models, mouse genetics, molecular biology, biochemistry and cell biology, chemical biology, immunology, functional genomics, CARIPSR screening, signal transduction, single-cell sequencing, spatial sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational biology.

For more information about Dr. Chen's lab, please visit here.

As a successful candidate, you will:

Engage in a variety of advanced techniques, including but not limited to mRNA-based technologies, LNP development, targeted delivery, Flow cytometry, mass spectrometry/quantitative phospho-profiling, CyTOF, mouse genetics models, xenograft assays, retroviral gene delivery, chemical biology, drug development, whole exome sequencing and RNA-seq-analysis of clonal evolution of cancer, dot blots, RNA modification-seq, ChIP-seq, RIP-seq, PAR-CLIP-seq, single-cell sequencing, spatial sequencing, metabolism profiling, and pre-clinical drug testing in xenotransplantation models, etc.

Your qualifications should include:
  • A Ph.D. and/or M.D. degree(s), and a solid background in RNA biology, RNA-based therapeutics, RNA modifications/editing, epitranscriptomics, chromatin remodeling, mRNA-based therapeutics, drug discovery, drug delivery, biochemistry, chemical biology, development, epigenetics, immunology, tumor immunity, tumor microenvironment, pathology, metabolism, structural biology, and/or stem cell research.
  • At least three years of highly productive postdoctoral research training experience.

Preferred qualifications:
  • Mouse model research experience is a plus.


City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.

To learn more about our Comprehensive Benefits, please CLICK HERE

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