Career Center

We have an interest in utilizing computer algorithms as well as wet laboratory approaches to model gene behavior in tumors. This is purposed towards identifying cancer associated mechanisms, precision therapies or biomarkers.

The researcher will work with Dr. Justin Hwang and his 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 wet laboratory 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.
-Work with wet lab personnel to learn and execute the experiments.
-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 Dr. Justin Hwang and his team.
10% Assist in preparing manuscripts, progress reports, abstracts.
10% Present data at lab meetings.

The individual will conduct data analysis and laboratory experiments based in tumor models that represent cancer patients. This is a key area in which Dr. Justin Hwang has initiated collaborations on with the pharmacology department with Dr. Justin Drake. The have ongoing and pending funds and publications supporting additional pre-clinical and informatics analyses may lead to new clinical trials for a subset of prostate cancer patients with limited treatment options.

All required qualifications must be documented on application materials

Required Qualifications:

• BA/BS or combination of related education and work experience to equal to 4 years

Preferred Qualifications:

• 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
• Has basic wet laboratory skills
• Will take exceptional records to ensure codes are reproducible by others
• Has previously analyzed large scale datasets in projects and performed statistical analysis via regression models, or machine learning models
• Preference with experience on human genomic or transcriptomic projects and worked with analytical tools for studying human DNA and RNA; has an advanced degree in a health science or related field; has published on related projects; has developed code in the past

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