Senior R&D Scientist, Algorithm Developer

🔥 19 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧬 Research Scientist

👻 Ghost score 11%

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Baylor Genetics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1978

🏥 Healthcare

💼 Consulting

🍽️ Food & Beverage

Healthcare • Consulting • Food & Beverage

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 detecting and interpreting 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 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 • Contribute to scientific publications, conference presentations, and intellectual property development • Frequently sit or stand for extended periods • Frequently use hand and finger dexterity to operate laboratory equipment • Frequently communicate verbally and visually interpret technical data • Occasionally work with bloodborne or airborne pathogens or infectious materials

🎯 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, including BWA-MEM, minimap2, GATK, and DeepVariant, for germline and/or somatic variants • Knowledge of CNV modeling, STR detection tools, and methylation callers • Knowledge of homologous region analysis and control gene normalization • Knowledge of PGx variant interpretation and allele resolution • Experience with long-read technologies, including ONT and PacBio, and signal-level data • Strong analytical, problem-solving, and communication skills • Preferred experience with pharmacogenomics variant calling, including complex loci such as CYP2D6 • 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 including FASTQ, BAM, and VCF • Familiarity with CI/CD, workflow automation, troubleshooting, and reproducible bioinformatics pipelines • Preferred experience with somatic variant calling using short-read and/or long-read sequencing • Preferred experience with machine learning models for variant classification • Knowledge of clinical genomics and regulatory standards • Familiarity with pharmacogenomic databases such as PharmGKB and CPIC

🏖️ Benefits

• Equal opportunity employer dedicated to building an inclusive and diverse workforce • Work primarily performed in a laboratory and office environment

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