Scientist, Bioinformatics Research - Sr 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:
    10/29/2022
  • Function
    Research and Development
  • Job Family
    Scientist
  • Remote
    Remote
  • Position Type
    Regular Full-Time
  • Shift
    Day

Job Description

As a Senior Bioinformatics Research Scientist – Computational Biology/Data Science, remote, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge.

The Senior Bioinformatics Research Scientist will work 100% remote and can be located anywhere in the US.

Senior Bioinformatics Research Scientist – Computational Biology/Data Science, remote, the role:

The Senior Bioinformatics Research Scientist will work as a Computational Biologist/Data Scientist focusing on clinical methods development for NGS data, including analytical workflows, comparative analyses, and development of QC methods and results. Successful candidate will design and conduct data analyses and research on next-generation sequencing (NGS) data as a core team member collaborating with R&D bench scientists and software engineers during the clinical product development process, using cloud compute resources. Duties include providing technical/scientific leadership in design and development of new approaches to complex problems to meet project or organizational initiatives, mentoring other scientists and project team members to accomplish project objectives, and preparing reports, scientific publications, and/or conference presentations of results.

This professional can work 100% remotely.

To qualify, the ideal candidate will have the following skills and 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.
  • R, Python, Git, SQL, AWS, Kubernetes