Research Associate 2

University of Miami•Miami, FL

6d•Onsite

About The Position

The University of Miami/UHealth Department of Surgery has an exciting opportunity for a Full Time, Research Associate 2 to work in Miami. The Research Associate 2 contributes to the University’s research activities under the supervision of senior staff. Moreover, the incumbent understands, interprets, and complies with research policies and protocols.

Requirements

Bachelor’s Degree in relevant field
Minimum 2 years of relevant experience
Skill in collecting, organizing, and analyzing data.
Ability to recognize, analyze, and solve a variety of problems.
Ability to exercise sound judgment in making critical decisions.

Nice To Haves

Computational biology and wet-lab research experience
Experience analyzing multi-omics datasets (bulk, single-cell, and spatial) from patient tumors and disease models
Experience collaborating with data scientists, bioinformaticians, and cancer biologists
Experience analyzing high-throughput sequencing datasets (e.g., RNA-seq, ChIP-seq, ATAC-seq, scRNA-seq, scATAC-seq, Hi-C, and spatial transcriptomics)
Experience applying statistical modeling and machine learning
Experience developing computational workflows using R, Python, and GitHub
Experience with data visualization, interpretation, and manuscript preparation
Experience with wet-lab techniques such as library preparation, histology, PCR, flow cytometry, and media preparation
Experience documenting workflows and results according to institutional and scientific standards
Ability to adapt to evolving project priorities, workflow improvements, and emerging analytical needs

Responsibilities

Performs specialized and complex experiments/studies.
Participates in the publication of significant research results.
Advances expertise through education, training, and research.
Writes extramural grants/proposals to gain support when appropriate.
Collects, prepares, analyzes, dissects, and evaluates specimens and tissue cultures.
Weighs and anesthetizes laboratory animals for experiments.
Operates sensitive and highly complex laboratory equipment.
Performs calculations to complete research test results.
Performs photography and dark room processing.
Participates in training sessions and workshops.
Adheres to University and unit-level policies and procedures and safeguards University assets.
Serve as a bridge between computational biology and wet-lab research by analyzing multi-omics datasets (bulk, single-cell, and spatial) from patient tumors and disease models.
Collaborate with data scientists, bioinformaticians, and cancer biologists to identify gene regulatory networks and investigate mechanisms of tumorigenesis, treatment resistance, and metastasis.
Analyze high-throughput sequencing datasets (e.g., RNA-seq, ChIP-seq, ATAC-seq, scRNA-seq, scATAC-seq, Hi-C, and spatial transcriptomics), apply statistical modeling and machine learning, and develop computational workflows using R, Python, and GitHub.
Contribute to data visualization, interpretation, and manuscript preparation; assist with wet-lab techniques such as library preparation, histology, PCR, flow cytometry, and media preparation; document workflows and results according to institutional and scientific standards; and adapt to evolving project priorities, workflow improvements, and emerging analytical needs.