[Remote] Sr Research and Development Scientist, Algorithm Developer

Note: The job is a remote job and is open to candidates in USA. Baylor Genetics is seeking a highly experienced and innovative Senior Scientist in NGS Algorithm Development to lead the design, optimization, and implementation of computational algorithms for next-generation sequencing (NGS) data. This role focuses on detecting and interpreting genomic features and chromosomal abnormalities while ensuring analytical accuracy and scalability across products.ResponsibilitiesLead 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 regionsLead the design and optimization of targeted NGS panels for existing and new productsDrive end-to-end development, validation, benchmarking, and integration of NGS algorithms and analysis pipelines using internal and public truth setsCollaborate closely with assay scientists, bioinformatics teams, software engineers, and other partners to translate biological and product requirements into computational solutionsProvide technical and project leadership to ensure analytical accuracy, robustness, scalability, and continuous improvement across productsSupport technology transfer, pipeline updates, and production deployment, and contribute to scientific publications, conference presentations, and intellectual property developmentSkillsPh.D. in Bioinformatics, Computational Biology, Genomics, or a related disciplineMinimum 5 years of experience in NGS algorithm developmentProficiency in Python, R, C++, and workflow orchestration toolsDeep understanding of: Read alignment and variant calling (e.g., BWA-MEM, minimap2, GATK, DeepVariant) for germline or/and somatic variantsDeep understanding of: CNV modeling, STR detection tools and methylation callersDeep understanding of: Homologous region analysis and control gene normalizationDeep understanding of: PGx variant interpretation and allele resolutionExperience with long-read technologies (ONT, PacBio) and signal-level dataStrong analytical, problem-solving, and communication skillsSomatic variant calling by short-reads or/and long-reads sequencingExperience with machine learning models for variant classificationKnowledge of clinical genomics and regulatory standardsFamiliarity with pharmacogenomic databases (e.g., PharmGKB, CPIC)Company OverviewBaylor Genetics offers a full spectrum of cost-effective, genetic testing, and provides clinically relevant solutions. It was founded in 1978, and is headquartered in Houston, Texas, USA, with a workforce of 501-1000 employees. Its website is https://www.baylorgenetics.com/.Company H1B SponsorshipBaylor Genetics has a track record of offering H1B sponsorships, with 3 in 2025, 1 in 2024, 3 in 2023, 1 in 2022, 1 in 2021, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.