The Department of Population and Public Health Sciences is in search of a Research Lab Technician II who can assist with an ongoing NIH-funded research on the role of noncoding RNAs in disease pathogenesis. We look for a competitive individual who has a detailed understanding of the regulatory function of noncoding RNAs in controlling gene expression during health and disease states. The ideal candidate will have familiarity with pre-processing and analysis of transcriptomic data, including RNA-seq and miRNA-seq.
The successful candidate will have a B.S. degree in computational biology, computer sciences, bioinformatics, or related disciplines; he/she must be proficient in Python and R and familiar with bash/Linux command-line, cloud cluster computing, and database management, and possess programming skills.
The hourly rate range for this position is $24.23- $30.32. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.
Minimum Education: Associate’s degree, Specialized/technical training, Combined experience/education as substitute for minimum education Minimum Experience: 2 years Minimum Field of Expertise: Working knowledge of laboratory equipment and research protocols. Knowledge of computer analysis techniques and ability to provide routine analysis and interpretation of research data.
