The Sylvester Comprehensive Cancer Center has a great opportunity for a Postdoctoral Research. The Iavarone Lab is seeking an outstanding candidate for a Postdoctoral Research position to join his system biology and bioinformatics team. The Iavarone Lab studies brain tumors and his group develops and applies computational and systems biology approaches to dissect the molecular mechanisms that drive brain tumorigenesis, the composition tumor microenvironment in distinct subtypes of tumors and therapy resistance. The candidate will analyze and integrate high-throughput multiomics data including transcriptomic, genomic, epigenomic, functional genomic, chemical genomic and proteomic data from bulk tumors and single-cells to model context-specific cellular/molecular networks and identify actionable targets, biomarkers that could be utilized for the development of precision medicine in patients with brain tumors.

Candidates with expertise in oncology, mining algorithms, big data mining, machine learning, bioinformatics and design, analysis, implementation and experimental evaluation are encouraged to apply. Experience with omics data analysis using R or Python and familiarity with linux/unix is required. Experience and knowledge in chemical biology, network biology, parallel computing, web development and visualization is also highly desirable. Candidates are expected to exercise independent discretion and judgment in carrying out research activities and develop methods of research.

The Iavarone Lab provides a highly interactive environment with projects involving basic and clinical research collaborators, access to high performance computing clusters, cloud computing environment, innovative visualization tools, highly automated analytical pipelines and teamwork with scientists who have deep experience in data analysis, data management and delivery of high-quality results for highly competitive projects. Innovative research will be supported by the lab’s infrastructure, including state of the art wet-lab for experimental validation. As a member of the lab the candidate will interact with leaders in cancer and translational research within and outside the institution and at national/international meetings.

Work from the labs includes:

Garofano L et al. Pathway-based classification of glioblastoma uncovers a mitochondrial subtype with therapeutic vulnerabilities. Nature Cancer Feb;2(2):141-156; doi: 10.1038/s43018-020-00159-4, 2021. [see also Hubert, C.G. and Lathia J.D. Seeing the GBM diversity spectrum. Nature Cancer, Feb;2(2):135, 2021].

Lee SB et al. Proline Hydroxylation Primes protein kinases for autophosphorylation and activation. Mol. Cell 79:376-389, 2020.

*D’Angelo F. et al. The molecular landscape of glioma in patients with Neurofibromatosis 1. Nature Medicine, 25:176-187, 2019

Frattini Vet al. A metabolic function of FGFR3-TACC3 gene fusions in cancer. Nature, 553: 222–227, 2018. Nature, 553: 222–227, 2018; [see also RESEARCHWATCH “FGFR3–TACC3 Activates Mitochondrial Respiration via PIN4 Phosphorylation” Cancer Discovery Published Online First January 12, 2018 doi: 10.1158/2159-8290.CD-RW2018-008; RESEARCHHIGHLIGHTS “Fusion Power” Nature Reviews Cancer Published online January 25, 2018 doi:10.1038/nrc.2018.2; NATURE.COM/PATHOLOGY “Gene fusions in cancer metabolism” Laboratory Investigation 98:271, 2018].

Lee SB et al. An ID2-dependent-mechanism for VHL inactivation in cancer. Nature (Article), 529:172-177, 2016; [see also RESEARCHWATCH “Hypoxia promotes cancer stem cells via ID2-dependent VHL inactivation” Cancer Discovery (6: 120, 2016). RESEARCHHIGHLIGHTS “Pathway to stemness” Nature Reviews Cancer (16: 70, 2016)]

Requirements:

Education: PhD in Computational Biology, Bioinformatics, or a related field 

Apply online at www.miami.edu/careers (Requisition # R100060944), CV should be sent to: axi435@miami.edu