Summary of Position We have an interest in the genetic and epigenetic re-programing associated with aggressive tumors including lethal prostate, breast and brain cancers. Our goals are to credential and mechanistically examine the role of several novel target genes in cancer. We are also interested in examining these hypotheses in both cell lines and patient tissue. The analysis will work with Dr. Justin Hwang to examine how tumor regulatory genes are associated with gene expression profiles in clinical samples. The individual will be assigned two or more research projects in which the individual will be responsible in progressing based on the following:
Responsibilities: 60% Design and perform bioinformatics analysis for projects. -Design overarching experimental plans using bioinformatics methods. -Development or implement computer code to analyze clinical gene expression data with specified inputs and outputs. -Identify and trouble shoot issues to complete proposed analyses.
20% Interpret and organization of bioinformatics analysis for 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 Dr. Justin Hwang.
10% Assist in preparing manuscripts, progress reports, abstracts.
10% Present data at lab meetings.
All required qualifications must be documented on application materials.
Required Qualifications: *BA/BS and 1 year of related experience or an equivalent combination of education and experience to total 5 years *In depth knowledge of bioinformatics, 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 *Can develop, read and execute code in R script. Will take exceptional records to ensure codes are reproducible by others *Has previously analyzed large scale datasets in projects
Preferred Qualifications and Experience 1. Preference with experience on human genomic or transcriptomic projects 2. Has an advanced degree in a health science or related field 3. Has published on related projects 3. Has developed code in the past 4. Experience with Python, SAS, Statistical Analysis Programs 5. Has performed statistical analysis via regression models and has used machine learning models such as glmnet, random forest, SVM, neural network, gradient boosting.
Internal Number: 337709
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