R&D Scientist III, Algorithm Developer

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Baylor Genetics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1978

🧬 Biotechnology

🔬 Science

Biotechnology • Science

Baylor Genetics is a clinical genomics and precision diagnostics laboratory affiliated with Baylor College of Medicine that provides comprehensive genetic testing and interpretation services. The company offers whole genome and whole exome sequencing, chromosomal microarray analysis, mitochondrial testing, pharmacogenomics, and specialized assays, along with genetic counseling, provider support, and insurance/payment resources. Baylor Genetics supports healthcare providers, researchers, and families with AI-enhanced interpretation, multimodal data integration, and end-to-end clinical and laboratory services.

📋 Description

• Perform in-depth analytical 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 • Conduct end-to-end validation 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-structured technical reports • Collaborate with cross-functional teams, including assay development, bioinformatics, and quality, to support R&D objectives

🎯 Requirements

• 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 a cross-functional R&D environment