Senior NGS Bioinformatics Scientist & Pipeline Validator

Baylor Genetics; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Baylor Genetics is seeking an R&D Scientist to document analytical methods, validation studies, and pipeline updates supporting internal development and regulatory needs. The role collaborates with assay development, bioinformatics, and quality groups to advance NGS-based solutions.

You will conduct end-to-end validation of NGS analysis pipelines, assess sequencing performance, and contribute to design and quality assurance, with strong programming in Python or R and a Ph.D.

Qualifications

• Ph.D. or MS with relevant experience in bioinformatics/genomics.
• Hands-on experience analyzing NGS data and sequencing performance metrics.
• Experience validating computational algorithms or bioinformatics pipelines.
• Proficiency in Python and/or R for data analysis.
• Strong analytical, documentation, and cross-functional collaboration skills.

Responsibilities

• Perform in-depth analytical analysis of NGS data to evaluate sequencing performance metrics.
• Validate and verify computational algorithms used in NGS pipelines.
• Support NGS panel design activities with analytical assessment and quality considerations.
• End-to-end validation of NGS analysis pipelines for accuracy and reproducibility.
• Support QA through data review, troubleshooting, and performance monitoring.
• Document analytical methods, validation studies, and pipeline updates in technical reports.

Skills

Python

R

NGS data analysis

validation

documentation

collaboration

Education

Ph.D. in Bioinformatics/Computational Biology/Genomics/CS or related field

M.S. with 3+ years of relevant experience

Tools

NGS analysis pipelines

Job description

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

Qualifications

Education

Required

PHD or better in Biology.

Equal Opportunity Employer
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