NGS Data Scientist (Hybrid)

We are seeking a highly motivated next generation sequencing (NGS) data analytic scientist to support Oncology Assay Development at Quest. As a member of the Oncology R&D team this role will collaborate with other scientists and staff from cross-functional teams to develop validate and support cutting-edge genomic assays for oncology applications.

The ideal candidate will have a strong background in bioinformatics and/or genomic data analysis for somatic applications translating complex data into actionable insights that drive product development operational excellence and clinical impact.

This professional will work in a hybrid capacity requiring 3 days onsite at our Lewisville TX facility.

• Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data types include whole exome sequencing (WES) whole exome sequencing (WGS) and targeted DNA and RNA panel datasets generated from Illumina Ion Torrent and PacBio sequencing technologies.
• Curate analyze and interpret complex genomics datasets to support assay development validation and high throughput implementation
• Present findings to drive decision-making in R&D product development troubleshooting and pipeline improvement
• Design develop and deploy scalable and robust bioinformatics pipelines to support analytical validation data analysis for new oncology products
• Partner with R&D automation laboratory operations and software teams to understand and address the technical challenges and implement efficient solutions
• Support production day-to-day operations quickly pivoting focus to respond to incidents and requests
• Monitor execute and improve sequence analysis workflows and automation
• Produce charts and visualization for dashboards reporting and in support of data driven hypothesis testing
• Track troubleshoot and mitigate issues encountered in processing production samples to meet strict Turnaround Times (TAT)
• Contribute to continuous improvement of analytical methods workflows and data quality standards

The ideal candidate will have a history of using bioinformatic technical skills to deliver accurate and timely results.

Required Work Experience:

• Requires at least 4 (four) years of relevant industrial experience in data science and/or bioinformatics role

• Masters degree or a Ph.D. in bioinformatics computational biology molecular biology chemistry physics statistics or a related field

• Experience with oncology genomics and somatic variant analysis

  
  

Preferred Work Experience:

• Experience in NGS workflow development
• Strong analytical skills with the ability to interpret and communicate experimental results
• Ability to work collaboratively in a fast-paced Cross-functional environment.
• Experience with Software Development Life Cycle documentation procedure

• Familiarity with assay validation regulatory environment (CAP/CLIA) or clinical diagnostics

  
  

Skills:

• Experience using scripting languages (Python R or similar) for scientific data analysis and visualization
• Strong proficiency in NGS data processing QC and interpretation
• Experience with analysis of next-generation sequencing data preferably including Whole-Genome Sequencing Variant calling and Annotation
• Excellent communication skills and the desire to work in a dynamic and collaborative environment