Research Assistant Professor

UNC-Chapel HillChapel Hill, NC
Onsite

About The Position

The Division of Surgical Oncology in the Department of Surgery of the University of North Carolina at Chapel Hill is seeking a full-time Research Assistant Professor. This is a fixed-term academic faculty appointment commensurate with qualifications. The successful applicant will focus primarily on molecular biology analyses in breast cancer research and serve as director of the cancer research laboratory for Dr. Philip Spanheimer. This position requires expertise in original scholarship, research design, research engineering, implementation of research procedures, data analysis, and interpretation of results, with a substantial emphasis on bioinformatics analysis, from primary data processing through biological interpretation. The position will focus on but not limited to breast cancer research including the analysis of therapeutic response and mechanisms of resistance.

Requirements

  • Expertise in original scholarship, research design, research engineering, implementation of research procedures, data analysis, and interpretation of results.
  • Substantial emphasis on bioinformatics analysis, from primary data processing through biological interpretation.
  • Focus on breast cancer research, including the analysis of therapeutic response and mechanisms of resistance.

Nice To Haves

  • Experience in bioinformatics related to cancer research, including analysis of single-cell transcriptomic and multiomic data, proteomic data analysis, and the application of diverse bioinformatics methods.
  • Experience modeling intratumoral heterogeneity.
  • Experience developing bioinformatics methods to integrate multiple omic layers.

Responsibilities

  • Serve as director of the cancer research laboratory for Dr. Philip Spanheimer.
  • Focus primarily on molecular biology analyses in breast cancer research.
  • Conduct original scholarship, research design, research engineering, implementation of research procedures, data analysis, and interpretation of results.
  • Perform bioinformatics analysis, from primary data processing through biological interpretation.
  • Analyze therapeutic response and mechanisms of resistance in breast cancer research.
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