R&D Scientist III: NGS Analytics & Algorithm Development

Baylor Genetics; United States; On-site; USD 100,000 - 160,000; Full time

Job summary

Baylor Genetics in the United States is seeking an R&D Scientist focused on NGS data analysis and pipeline development. The role emphasizes thorough documentation of methods, validation studies, and updates in technical reports to support internal development and regulatory needs.

The candidate will collaborate across assay development, bioinformatics, and quality groups, contributing to end-to-end validation of analysis pipelines and performance metrics.

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field; or M.S. with 3+ years of relevant experience
• Hands-on experience with NGS data analysis, including evaluation of sequencing performance metrics and assay quality
• Experience validating computational algorithms or bioinformatics analysis pipelines
• Proficiency in Python and/or R for data analysis and pipeline development
• Strong analytical, documentation, and collaboration skills within across functional R&D environment

Responsibilities

• Perform in-depth analysis of NGS data to evaluate sequencing performance metrics
• Validate computational algorithms used in NGS pipelines
• Support NGS panel design with analytical assessment and quality considerations
• Validate end-to-end NGS analysis pipelines for accuracy and reproducibility
• Assist quality assurance through data review and performance monitoring
• Document methods, validation studies, and pipeline updates in technical reports
• Collaborate with assay development, bioinformatics, and quality teams to support R&D goals

Skills

NGS data analysis

Python

R

Documentation

Education

PhD in Bioinformatics/Computational Biology/Genomics/Computer Science

MS with 3+ years relevant experience

Tools

Linux HPC

Docker

Nextflow

GitHub

Job description

Baylor Genetics in the United States is seeking an R&D Scientist focused on NGS data analysis and pipeline development. The role emphasizes thorough documentation of methods, validation studies, and updates in technical reports to support internal development and regulatory needs.

The candidate will collaborate across assay development, bioinformatics, and quality groups, contributing to end-to-end validation of analysis pipelines and performance metrics.