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Bioinformatics Scientist

Job in El Monte, Los Angeles County, California, 91734, USA
Listing for: Fulgent Genetics
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Bioinformatics Scientist I

About Us

Founded in 2011, Fulgent has evolved into a premier, full-service genomic testing company built around a foundational technology platform.

Through our diverse testing menu, Fulgent is focused on transforming patient care in oncology, anatomic pathology, infectious and rare diseases, and reproductive health. We believe that by providing a wide range of effective, flexible testing options in conjunction with best-in-class service and support, we can redefine the way medicine is managed for patients and clinicians alike.

Since integrating with our therapeutic development business, Fulgent is also developing drug candidates for treating a broad range of cancers using a novel nanoencapsulation and targeted therapy platform. By merging our fields of expertise, we aim to become a fully integrated precision medicine company.

Summary of Position

As a Bioinformatics Scientist, you will collaborate in cross-functional teams to design, implement and continually improve advanced computational pipelines for high-throughput analysis of multiple types of NGS data. You will refine methodologies for data analysis, processing, visualization and storage. You will strive to maximize efficiency, quality, reliability and customer usability and satisfaction. This role sits within the Somatic/Oncology bioinformatics team, with a primary focus on tumor and tumor-normal NGS analysis pipelines supporting cancer genomic testing.

Key

Job Elements Research and Development
  • Investigate and compare available algorithms, methods and data sources, including somatic variant calling, annotation, and filtering strategies (SNVs, indels, CNVs, gene fusions) in tumor and tumor-normal samples.
  • Make recommendations for pipeline component improvements, or new pipelines.
  • Write SOPs for new or updated pipeline components, or new pipelines.
  • Write specifications for implementation by software developers.
  • Oversee pipeline development and integration.
Production and Customer Support
  • Investigate and resolve analysis and pipeline production issues.
  • Review client projects for compatibility with current pipelines, make recommendations and implement customizations as needed.
  • Oversee sequencing service projects, including variant classification and interpretation workflows that feed into clinical oncology reports, ensuring timely processing, quality results and client satisfaction.
  • Support software and LIMS developers in automation efforts.
  • Perform specialized analyses as needed for specific projects, keep up-to-date with current best practices and emerging methods, and treat data with a high level of integrity and ethics.
Data Maintenance
  • Investigate available annotation and reference data sources, including cancer-specific knowledge bases such as COSMIC, OncoKB, CIViC, and Clin Var for somatic variant annotation.
  • Validate and deploy/update selected data sources.
  • Write reports detailing validation/update methodology and results.
  • Write SOPs for updating existing or new data sources.
Validation
  • Develop appropriate procedures for testing and validation of new or updated pipelines or pipeline components.
  • Document and maintain data used for testing and validation.
  • Write validation reports detailing validation methodology and results.
Qualifications Knowledge/Experience
  • Ph.D. in Bioinformatics, Biostatistics, or a related field; or M.S. in a related field with 3+ years of relevant experience.
  • 1-3 years of experience in a related scientific discipline, with experience in cancer genomics or somatic variant analysis strongly preferred.
  • Experience analyzing multiple types of next-generation sequencing (NGS) data, including somatic variant calling tools (e.g., Mutect2, Strelka2, Var Dict) and cancer genomics annotation databases (e.g., COSMIC, OncoKB, CIViC), and…
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