Research Lab Technician II - Data Analysis

University of Southern California•Los Angeles, CA
•$26 - $28

About The Position

The USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Titus Family Department of Clinical Pharmacy, is hiring a Research Lab Technician II to support studies in immunogenomics, cancer genomics, and therapeutics. The lab is focused on identifying and investigating therapeutic targets in acute myeloid leukemia (AML) and developing new therapeutic strategies. The role supports laboratory research and day-to-day operations, with responsibilities spanning genomic data processing and analysis, experimental data analysis, public data resource mining, pipeline maintenance, data management, high-performance computing, and preparation of research outputs. The position requires a bachelor's degree in a relevant life-science field and hands-on laboratory experience. The minimum qualifications also list an associate's degree, specialized/technical training, or an equivalent combination of experience and education, along with two years of experience. The hourly rate range is $25.71–$28.32. Applicants should submit a cover letter describing research experience and interests, a résumé or CV, and contact information for two to three references.

Requirements

  • Bachelor’s degree in biology, molecular biology, biochemistry, immunology, or a related field.
  • Hands-on laboratory experience with routine molecular biology and cell culture techniques.
  • Excellent organizational, record-keeping, and communication skills.
  • Ability to work independently and as part of a team.
  • Minimum experience: 2 years.
  • Working knowledge of laboratory equipment and research protocols.
  • Knowledge of computer analysis techniques and ability to provide routine analysis and interpretation of research data.

Nice To Haves

  • Master’s degree or 1–2 years of research laboratory experience.
  • Experience with flow cytometry, NGS sample preparation, or high-throughput assays.
  • Experience with mouse handling and in vivo studies.
  • Familiarity with basic data analysis tools such as R, Python, or GraphPad Prism, or interest in learning bioinformatics.
  • Background in cancer biology or hematologic malignancies.

Responsibilities

  • Process and perform quality control on next-generation sequencing data, including RNA-seq, whole-exome/genome sequencing, ATAC-seq, ChIP-seq, and single-cell sequencing, using established pipelines.
  • Perform downstream analyses such as differential expression, variant calling and annotation, pathway enrichment, and clustering under the guidance of the Principal Investigator and senior lab members.
  • Analyze data from high-throughput drug screens, flow cytometry, and preclinical mouse studies, and perform basic statistical analyses.
  • Mine public omics resources, including TCGA, BeatAML, GEO, and DepMap, to support target discovery and validation.
  • Maintain, document, and update analysis pipelines and scripts using version control.
  • Organize and manage laboratory datasets, sample metadata, and clinical annotations in compliance with IRB and data security requirements.
  • Run jobs on USC’s high-performance computing cluster and manage data storage.
  • Prepare figures, tables, and summaries of results for lab meetings, presentations, and manuscripts.
  • Perform molecular, cellular, and in vivo experiments and support day-to-day laboratory operations.
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