R&D Scientist III, Algorithm Developer

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

Position Summary

This position requires thorough documentation of analytical methods, validation studies, and pipeline updates in technical reports, supporting both internal development and regulatory needs. The R&D Scientist will work collaboratively withcross functionalteams, including assay development, bioinformatics, and quality groups.

Candidates should hold a Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field, or an M.S. with 3+ years of relevant experience. Required expertise includeshands on ‑ experience with NGS data analysis, particularly sequencing performance metrics, as well as strong programming skills in Python and/or R.

Key Responsibilities

• Performin-depthanalytical analysis of NGS sequencing data to evaluate sequencing performance metrics and support assay development
• Validate and verify computational algorithms used within NGS analysis pipelines
• Support NGS panel design activities, including analytical assessment and quality considerations
• Conductend-to-endvalidation of NGS analysis pipelines to ensure accuracy, reproducibility, and robustness
• Support quality assurance efforts through data review, troubleshooting, and performance monitoring
• Document analytical methods, validation studies, and pipeline updates in clear,well-structuredtechnical reports
• Collaborate withcross functionalteams, including assay development, bioinformatics, and quality, to support R&D objective

Required 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

Preferred Qualifications

• Preferred experience with Linux/HPC, Docker containerization, Nextflow workflow development, GitHub-based software engineering, and Python/Groovy programming. Familiarity with cloud platforms and NGS data formats (FASTQ, BAM, VCF), along with CI/CD, workflow automation, troubleshooting, and developing reproducible bioinformatics pipelines.
• Knowledge of clinical genomics applications, including NIPT or cancer genomics
• Experience or familiarity with pharmacogenomics (PGx) and complex variant analysis
• Exposure to rare disease genomics and germline variant analysis

Equal Opportunity Employer

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