Scientist, Bioinformatics Research - Lead in San Juan Capistrano, CA at Quest Diagnostics

Date Posted: 10/29/2022

Job Snapshot

  • Location:
    33608 Ortega Highway
    San Juan Capistrano, CA
  • Date Posted:
  • Function
    Research and Development
  • Job Family
  • Remote
  • Position Type
    Regular Full-Time
  • Shift

Job Description

The Bioinformatics Research Scientist Lead conducts data analyses and research with significant impact to the organization or high-priority projects. Develop new approaches for data analyses and conduct bioinformatics research with significant impact to the organization or high-priority projects. Develop and execute novel computational approaches to analyze bioinformatics problems and datasets. Provide technical/scientific leadership in design and development of new approaches to complex problems to meet significant project and/or major organizational initiatives. Guide and mentor other scientists and project team members including collaboration with wet lab scientists to accomplish project objectives.

This is a critical position working closely with the global ADx Technology organization and has additional ties to the Advanced Diagnostics, General Diagnostics, R&D, Franchise teams and Quest IT

Prepares patent applications, reports, scientific publications, conference presentations, and other communications of analysis results related to significant scientific research aligned with business objectives such as new technology development, product/process development and improvement.

Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners.

Required Work Experience:

PhD with 3+ year experience, or MS with 5+ years experience, or BS with 7+ years experience in an industrial or academic setting working with clinical and biological data and underlying technologies including bioinformatics methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. Experience working in a clinical environment preferred.

Significant relevant publication or patent record, and/or at least four years of relevant R&D experience in bioinformatics/algorithm development of relevant technologies. Relevant technologies include non-invasive prenatal screening, liquid biopsy, somatic variant calling, WGS, CNV/structural variant calling, pop gen, polygenic risk evaluation, imputation, etc.


Requires knowledge and skills normally acquired through the successful completion of a Bachelor's Degree in Bioinformatics, Chemistry, Computer Science, or related scientific discipline