VIBRANT GENOMICS LLC, 1021 HOWARD AVE, SUITE C, SAN CARLOS, CA 94070
Develop machine learning models (Random Forest and SVM) to analyze important features of illness and optimize assay process. Manage daily test running and provide detailed test reports with data analysis and interpretation for doctors by using Lab Information System. Execute lab automation solutions to increase efficiency and accuracy of data and assay processing. Develop algorithms and R program for detecting and analyzing signals from chip pictures. Based on FDA approval guideline requirements, create predictive models by using non–parametric methods to deliver consistent results from repeatable sample tests. Design complex SQL queries for database maintenance, data extract, transform and analysis to achieve advanced requirements. Design various utility scripts in R and Python for model analysis.
Bachelor’s degree in Statistics, Operations Research, or related field with two years of experience in data analysis. A Master’s degree in the same disciplines is acceptable in lieu of the two-year experience.
Require experience or skills in:
data warehouse/reporting space;
designing, developing, optimizing and maintaining ETL using frameworks and/or programming languages;
writing SQL statements;
coding/development experience (such as R, Python, Java, C++, Scala);
schema design and dimensional data modeling;
analyzing data to answer business questions;
managing and communicating data warehouse plans to internal clients.
Please submit your resume/application to firstname.lastname@example.org