Bioinformatics Analyst I — Translational Cancer Genomics

The Lundquist Institute; Torrance (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

The Lundquist Institute seeks a Bioinformatics Analyst I to support translational oncology research by analyzing high-throughput omics data, including NGS, epigenomics, transcriptomics, and proteomics. The role involves building and maintaining workflows and databases, analyzing clinical and research data, and collaborating with investigators and bioinformaticians to advance scientific objectives.

The position emphasizes data integration from public resources, quality control, and the

Qualifications

• Bachelors degree in a relevant scientific field.
• Minimum of three years of experience in bioinformatics or a related research environment.
• Experience with NGS data analysis, multi-omics, epigenomics, and proteomics.
• Ability to analyze large datasets and communicate results clearly.

Responsibilities

• Perform bioinformatics analyses of genomic, transcriptomic, epigenomic, and proteomic datasets from oncology research.
• Process raw NGS data and format outputs for common analysis tools.
• Develop and optimize databases and computational workflows for large-scale omics data.
• Integrate data from public repositories and public datasets for analysis.
• Perform quality control, statistical analysis, and interpretation of results.

Skills

NGS data analysis

Multi-omics analysis

Epigenomic data analysis

Proteomics data analysis

Translational oncology research

Genomics knowledge

Data integration

Scientific writing

Collaboration

Communication of complex results

Education

Bachelor's degree in Bioinformatics, Computational Biology, Biology, Computer Science, Biostatistics, or related field

Job description

The Lundquist Institute seeks a Bioinformatics Analyst I to support translational oncology research by analyzing high-throughput omics data, including NGS, epigenomics, transcriptomics, and proteomics. The role involves building and maintaining workflows and databases, analyzing clinical and research data, and collaborating with investigators and bioinformaticians to advance scientific objectives.

The position emphasizes data integration from public resources, quality control, and the