About The Position

This faculty position will focus on computational cancer genomics, systems biology, and data driven precision oncology. The position will report to the Chief, Division of Hematology in the Department of Medicine. The Research Assistant Professor will work closely with the lymphoma group, understanding tumor immune microenvironment (TME) analysis, lymphoma and hematologic malignancies, cancer immunotherapy & CAR T – cell biology, and multi-omics & machine learning approaches. The Research Assistant Professor will manage research projects, and will supervise research projects of interns, undergraduate or graduate students. It may lecture and/or conduct demonstrations and teach across UM schools. The Research Assistant Professor will partner and collaborate with other faculty in the Department of Medicine, and perhaps other departments throughout SCCC/UM-MSOM and UHealth, to advance scientific discovery, enhance clinical innovation and strengthen cancer-relevant hematologic research. The incumbent will be expected to seek and participate in federally funded research projects, collaborative grants, and play a key role in the development of translational computational platforms.

Requirements

  • Ph.D. in computational biology, bioinformatics, biophysics, or related fields
  • Demonstrated knowledge and application of scientific techniques
  • Some experience in running a lab, funded research projects, and/or supervising post-docs
  • Strong written and oral communication skills
  • Ability to work with diverse constituency
  • Completion of successful academic and research work that has resulted in authorship and/or co-authorship of papers in peer reviewed journals while serving as a faculty, and/or as a scientist.
  • Demonstrates ability to develop collaborative research projects in a manner consistent with the mentor’s research plan and contribute towards the making of scientific advances in the field of work.
  • Demonstrates ability to teach in the laboratory setting and/or through presentations of papers and/or seminars.
  • Successful track of research projects/funds and contribution to grant applications that are collaborative in nature and/or demonstrated ability to write competitive grants independently.
  • Demonstrates desire to move towards scientific independence through submission of grant applications, development of independent research projects, or, collaborate with scientists other than the primary mentor with whom the scientist works.

Responsibilities

  • Conduct, collaborate and manage scientific research and investigations
  • Establish and lead an independent, externally funded research program in computational cancer biology.
  • Develop computational tools and analytical frameworks to support multi-omics data interpretation.
  • Collaborate with clinical and laboratory investigators to translate computational findings into clinically actionable insights.
  • Contribute to team-based, grant funded research programs in cancer genomics and immune-oncology.
  • Participates in the management of the daily operations of his/her lab (if applicable)
  • Supervise, mentor and manage postdoctoral fellows as well as graduate students engaged in collaborative research projects
  • Explore and develop appropriate research collaborations both within the Department, the Sylvester Comprehensive Cancer Center and outside of the University of Miami Miller School of Medicine departments and schools
  • Pursue extramural funding as PI, contribute as co-investigator or milti-PI and programmatic grants
  • Collect and analyze data
  • Write and submit scientific papers and abstracts
  • Presents ongoing work and findings to colleagues and at academic/research conferences
  • Participates in the Sylvester Comprehensive Cancer Center Junior Development Program

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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