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Job Description

The Assistant Professor will manage research projects, and will supervise research projects of interns, undergraduate or graduate students.  The Assistant Professor may lecture or conduct demonstrations and teach across UM schools. The Assistant Professor will partner and collaborate with other  faculty in the Department of Public Health Sciences, and perhaps other departments throughout UM, to advance knowledge, training, and education.

This position requires strong experience in single-cell expression analysis from different platforms (10x, Smart-Seq2) to profile cell-to-cell variability on a genomic scale, and address questions for the deconvolution of the tumor and non-tumor cell heterogeneity of sporadic glioma to define the range of cellular states that characterize both tumor cells and the cells in the tumor microenvironment.

Key Areas of Responsibility

• Reporting to the Chairman of the Department of Public Health Sciences, the incumbent will conduct, collaborate and manage scientific research and investigations
• Participates in the management of the daily operations of his/her lab
• Conduct regular lab meetings
• 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
• Collect and analyze data
• Write and submit scientific papers and abstracts, as well as submit grant proposals
• Presents ongoing work and findings to colleagues and at academic/research conferences
• Participates in the Sylvester Comprehensive Cancer Center Junior Development Program

Qualifications:

The ideal candidate should have a strong background in the multi-omics data integration for the inference of machine learning-based regulatory networks for the identification of Master Regulators and Master Kinases responsible for the characterization of cancer cell states and their similarity to normal or other malignant cell types, in particular in the context of glioblastoma multiforme. Candidate should be able to relate single cell states to genetics through inferred chromosomal copy number variations (CNVs) or mutation detection in expressed transcripts.

Experience in the mathematical modeling for the derivation of relationship from multi-omic data in the context of different tumor subtypes is also necessary for a successful candidate. The candidate has to show strong experience, qualifications, and motivation to learn and understand new concepts and model systems and works hard to improve and develop new technologies.

Requirements:

•           Strong background in algorithms and software development

•           Experience in developing computational biology / bioinformatics pipelines

•           Understanding and usage of statistics and bioinformatics algorithms

•           Critical problem solving and data analysis

•           Proficiency in R programming, Python, and shell scripting (these scripts are used in all efforts described above)

Requirements (essential)

Faculty members in the Department of Public Health Sciences will need to meet the following requirements:

• Ph.D.  Bioinformatics, computational biology, computer science, mathematics, molecular biology or closely related field.
• 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
• Computer literacy

• 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.

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet .

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