Research Associate - Cancer Genomics

Overview

Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission:
Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.

Under the direct supervision of the Principal Investigator, the Research Associate I performs routine to moderately complex bioinformatics and computational analyses in support of leukemia genomics and other biomedical research projects. The position emphasizes next-generation sequencing (NGS) data analysis, workflow development, high-performance computing, and structured data management to ensure accurate, reproducible, and well-documented research outputs.

As a successful candidate, you will:

• Bioinformatics and Computational Analysis. Use high-performance computing (HPC) servers and established analytical pipelines to perform bioinformatics and statistical analyses on large-scale NGS datasets, including bulk RNA-seq, whole-genome sequencing (WGS), whole-exome sequencing (WES), circ
  
  RNA, and single-cell RNA-seq (scRNA-seq). Execute quality control, alignment, quantification, variant analysis, and downstream statistical workflows using Python, R, and Linux-based tools. Record, verify, and document analytical results to ensure accuracy, reproducibility, and completeness.
• Workflow Development and Optimization. Contribute to the development, maintenance, and refinement of Snakemake-based bioinformatics workflows, including modular pipeline components for data preprocessing, quality control, alignment, and downstream analysis. Assist with improving computational efficiency, robustness, and reproducibility of existing pipelines.
• Data Management and Metadata Infrastructure. Build, maintain, and curate structured metadata databases supporting large-scale omics projects, enabling traceability, reproducibility, and efficient cross-project data access. Ensure consistent data organization and documentation standards across multiple research studies.
• Reporting, Visualization, and Documentation. Generate organized output files, summary reports, and data visualizations to support biological interpretation and communication within interdisciplinary research teams. Write standard analytical procedures, documentation, and internal reports to support knowledge sharing and long-term project continuity.
• Skill Development and Technical Expertise. Develop and expand expertise in bioinformatics methodologies relevant to leukemia genomics and related research areas, including differential expression analysis, clustering, dimensionality reduction, and variant interpretation. Apply quantitative reasoning and statistical principles to support hypothesis-driven research.
• Compliance and Professional Conduct. Ensure that all computational and data-related activities comply with City of Hope policies, data security requirements, and institutional standards for research integrity, confidentiality, and responsible conduct of research.

• Your qualifications should include:
• Bachelor’s degree in Engineering, Bioinformatics, Data Science, or a related quantitative discipline, with strong emphasis on mathematical modeling, statistics, and computational analysis.
• 0-2 years of research/laboratory experience.

City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.

City of Hope is an equal opportunity employer.

To learn more about our Comprehensive Benefits, please .