About the Job:
We have an interest in utilizing computer algorithms as well as wet laboratory approaches to model gene behavior in cancers. This is purposed towards identifying cancer associated mechanisms, precision therapies or biomarkers. The individual will conduct data analysis based on tumor models that represent cancer patients. This is a key area in Drs. Hai Dang Nguyen and Justin Hwangâ™s research programs. We have ongoing and pending funds and publications supporting additional pre-clinical and informatics analyses may lead to new clinical trials for a subset of MDS/sAML and prostate cancer patients with limited treatment options.

The researcher will work with Drs. Hai Dang Nguyen and Justin Hwang and their current team to conduct informatics driven research. The individual will be assigned three or more research projects in which the individual will be responsible in progressing based on the following:

Responsibilities:
50% Design and perform bioinformatics and manage resulting data. 
-Design overarching experimental plans using bioinformatics methods specific to short and long read sequencing technologies focusing on alternative splicing analysis. 
-Implement computer code to analyze gene expression data with specified inputs and outputs.
-Identify and trouble shoot issues to complete proposed analyses.

30% Interpret and organization of projects
-Document and organize source data, code, and results.
-Interpret results from analysis and articulate these findings to colleagues.
-Prepare figures for manuscripts and maintain expertise in the relevant research.
-Communicate and meet with Drs. Hai Dang Nguyen, Justin Hwang and his team.
10% Assist in preparing manuscripts, progress reports, abstracts.
10% Present data at lab meetings.

All required qualifications must be documented on application materials

Requirement Qualifications:
BA/BS or an equivalent combination of education and experience to total 4 years
*Can develop, read and execute code in R or Python script. 
*Knowledge of bioinformatics in research, with a demonstrated 
ability to solve complex problems using its methods
*Is willing to learn and develop long term projects by optimizing code for the analysis of biological features observed in cancer cells
*Will take exceptional records to ensure codes are reproducible by others

Preferred Qualifications:
Preference with experience on human genomic or transcriptomic projects and worked with analytical tools for studying human RNA, particularly long read sequencing; has a degree in a health science or related field; has published on related projects; has developed code in the past

About University of Minnesota Twin Cities

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.

Connections working at University of Minnesota Twin Cities