Senior Research and Development Scientist, Algorithm Developer

🕒 March 27

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Logo of Baylor Genetics

Baylor Genetics

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

• Lead the design, optimization, and implementation of scalable NGS algorithms and pipelines for detection and interpretation of complex genomic features, including SNVs/Indels, CNVs, STRs, methylation, trisomy, PGx variants, and variants in homologous and homopolymer regions • Lead the design and optimization of targeted NGS panels for existing and new products • Drive end-to-end development, validation, benchmarking, and integration of NGS algorithms and analysis pipelines using internal and public truth sets • Collaborate closely with assay scientists, bioinformatics teams, software engineers, and other partners to translate biological and product requirements into computational solutions • Provide technical and project leadership to ensure analytical accuracy, robustness, scalability, and continuous improvement across products • Support technology transfer, pipeline updates, and production deployment, and contribute to scientific publications, conference presentations, and intellectual property development.

🎯 Requirements

• Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline • Minimum 5 years of experience in NGS algorithm development • Proficiency in Python, R, C++, and workflow orchestration tools • Deep understanding of: Read alignment and variant calling (e.g., BWA-MEM, minimap2, GATK, DeepVariant) for germline or/and somatic variants • CNV modeling, STR detection tools and methylation callers • Homologous region analysis and control gene normalization • PGx variant interpretation and allele resolution • Experience with long-read technologies (ONT, PacBio) and signal-level data • Strong analytical, problem-solving, and communication skills.

🏖️ Benefits

• EEO Statement: Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. • We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.

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