Summary of Position: Conducting multiple systems biology projects ongoing in the lab, including but not limited to computational drug repositioning projects and drug combinational nomination and evaluation projects. Specifically, he/she will be responsible in utilizing existing computational tools, developing/optimizing novel computational tools to solve precision medicine problems. Data routinely used in the group include longitudinal whole genome, transcriptome and microRNA data from the cancer patients and cell lines as well as high throughput drug screening data generated in vitro. He/she will also be responsible in developing cell mixture model to capture cancer heterogeneity and test various compounds in the new model system. The scholar is expected to work in a team environment with responsibility to his/her own projects and assisting with other ongoing lab projects. He/she will present findings at our weekly laboratory meetings, and at national/international meetings as appropriate. He/she will also be expected to draft manuscripts and oversee their publication in scientific journals. He/she will assist the supervisor in writing grant applications and filling intellectual property application.
Principal Duties and Responsibilities: 50% Research Develop/optimize experimental models/tools Utilize develop/existing models for drug/drug combination testing Collaborate with our wet lab expertise to desi experimental validation
20% Computational work Apply existing computational pipeline to generate leads for experimental testing
30% Data Presentation
Summary experimental findings and present them to the lab and in other platforms. Draft manuscripts and grant applications.
Working Conditions: The majority of the work for this position will be performed in the laboratory with a portion of the researcher time will be spending in a general office setting for data analysis and writing.
Required Qualifications: -Ph.D. in genetics, bioinformatics, pharmacology, cancer biology, cellular and molecular biology or biochemistry or other relevant fields, with one or more years of research training Experience in the following areas: -Cancer cell manipulation (including labeling, quantification and tracking) -Drug sensitivity assessment -Experimental design and data analysis -Lab data collection and analysis -Manuscript preparation
Preferred Qualifications: Programming languages, such as R, Linux, Bash, etc.
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.