The employee will be responsible in designing and implementing algorithms for medical records as well as genomic data such as genotype, methylation, RNA-seq, and microbiome data. The employee will implement advanced statistical analysis to benchmark and evaluate these methods and other computational methods developed in the lab. The employee will be implementing, testing, modifying, debug programming codes, and preparing document procedures on utilizing the developed tools. The employee will be assisting the Principal Investigator in monitoring the progress of the research activities, meeting project milestones on timely manner, preparing progress reports, and writing manuscripts. The employee will also be analyzing genomic and medical records data that is available for use in the lab, using off the shelf software, and will communicate directly with the collaborators of the lab.
Ability to manage competing demands/assignments/deadlines.
At least 2 years of data science experience
Demonstrated knowledge and experience working with genomic data.
Python
Java
C++
Time Management
statistical analysis
MS Excel
MS PowerPoint
R
Matlab
Reporting skills
Process Improvement
Verbal communication
written communication
Self-Driven
Detail Oriented and Organized
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UCLA offers a combination that’s rare, especially among public research universities. The breadth, depth and inspired excellence among academic programs—from the visual and performing arts to the humanities, social sciences, STEM disciplines and health sciences—add up to endless opportunity. The location is unmatched: a campus that is unexpectedly picturesque and compact, set in a thriving and diverse global city.

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