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. Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.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 Master's degree, or a Ph.D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or a related fieldExperience with oncology genomics and somatic variant analysisPreferred Work Experience:Experience in NGS workflow development Strong analytical skills with the ability to interpret and communicate experimental resultsAbility to work collaboratively in a fast-paced, Cross-functional environment.Experience with Software Development Life Cycle documentation procedureFamiliarity with assay validation, regulatory environment (CAP/CLIA), or clinical diagnosticsSkills:Experience using scripting languages (Python, R, or similar) for scientific data analysis and visualizationStrong proficiency in NGS data processing, QC, and interpretationExperience with analysis of next-generation sequencing data, preferably including Whole-Genome Sequencing, Variant calling, and AnnotationExcellent communication skills and the desire to work in a dynamic and collaborative environmentPerform 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 implementationPresent findings to drive decision-making in R&D product development, troubleshooting, and pipeline improvementDesign, develop, and deploy scalable and robust bioinformatics pipelines to support analytical validation data analysis for new oncology productsPartner with R&D, automation, laboratory operations, and software teams to understand and address the technical challenges and implement efficient solutionsSupport production day-to-day operations, quickly pivoting focus to respond to incidents and requestsMonitor, execute, and improve sequence analysis workflows and automationProduce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testingTrack, 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 standardsFull timePosting Date: 2026-06-16