{"schemaVersion":"jobsearcher.job.v1","id":"f1d20f508bf914a93808ec12","url":"https://jobsearcher.com/jobs/f1d20f508bf914a93808ec12","canonicalUrl":"https://jobsearcher.com/jobs/f1d20f508bf914a93808ec12","title":"Senior R&D Scientist, Algorithm Developer","description":"SUMMARYWe are 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 a wide range of genomic features and chromosomal abnormalities, including trisomy, small variants, copy number variants, short tandem repeats, methylation patterns, and variants in homologous and homopolymer regions.The Senior Scientist will also lead the design and optimization of targeted NGS panels for existing and new products and drive the development, validation, and integration of NGS algorithms and analysis pipelines. As a technical and project lead, this role ensures analytical accuracy, robustness, and scalability across products, supports technology transfer and pipeline updates, and collaborates cross-functionally with assay development, bioinformatics, and partner teams to provide technical guidance and inform strategic decisions.The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field, and have at least 5 years of hands-on experience in algorithm development for NGS applications. Experience in pharmacogenomics (PGx) variant calling, including complex loci such as CYP2D6, is strongly preferred.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.Key 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 development.Required QualificationsPh.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 variantsCNV modeling, STR detection tools and methylation callersHomologous region analysis and control gene normalizationPGx variant interpretation and allele resolutionExperience with long-read technologies (ONT, PacBio) and signal-level dataStrong analytical, problem-solving, and communication skillsPreferred QualificationsSomatic 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)PHYSICAL DEMANDS AND WORK ENVIRONMENTFrequently required to sit or stand for extended periods.Frequently required to use hand and finger dexterity to operate laboratory equipment.Frequently required to communicate verbally and visually interpret technical data.Occasionally exposed to bloodborne or airborne pathogens or infectious materials.Work is primarily performed in a laboratory and office environment.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.Note to Recruiters:We value building direct relationships with our candidates and prefer to manage our hiring process internally. While we occasionally partner with select recruitment agencies for specialized roles, we do not accept unsolicited resumes from recruiters or agencies without a written agreement executed by the authorized signatory for Baylor Genetics (\"Agreement\"). Any resumes submitted to Baylor Genetics in the absence of an Agreement executed by Baylor Genetics' authorized signatory, will be considered the property of Baylor Genetics, and Baylor Genetics will not be obligated to pay any associated recruitment fees. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.","company":"Baylor Genetics","rawCompany":"baylor genetics","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T09:27:13.505Z","occupations":[{"code":"19-1029.01","title":"Bioinformatics Scientists","slug":"bioinformatics-scientists"},{"code":"15-2099.01","title":"Bioinformatics Technicians","slug":"bioinformatics-technicians"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"621511","title":"Medical Laboratories","slug":"medical-laboratories"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior R&D Scientist, Algorithm Developer","description":"SUMMARYWe are 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 a wide range of genomic features and chromosomal abnormalities, including trisomy, small variants, copy number variants, short tandem repeats, methylation patterns, and variants in homologous and homopolymer regions.The Senior Scientist will also lead the design and optimization of targeted NGS panels for existing and new products and drive the development, validation, and integration of NGS algorithms and analysis pipelines. As a technical and project lead, this role ensures analytical accuracy, robustness, and scalability across products, supports technology transfer and pipeline updates, and collaborates cross-functionally with assay development, bioinformatics, and partner teams to provide technical guidance and inform strategic decisions.The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field, and have at least 5 years of hands-on experience in algorithm development for NGS applications. Experience in pharmacogenomics (PGx) variant calling, including complex loci such as CYP2D6, is strongly preferred.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.Key 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 development.Required QualificationsPh.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 variantsCNV modeling, STR detection tools and methylation callersHomologous region analysis and control gene normalizationPGx variant interpretation and allele resolutionExperience with long-read technologies (ONT, PacBio) and signal-level dataStrong analytical, problem-solving, and communication skillsPreferred QualificationsSomatic 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)PHYSICAL DEMANDS AND WORK ENVIRONMENTFrequently required to sit or stand for extended periods.Frequently required to use hand and finger dexterity to operate laboratory equipment.Frequently required to communicate verbally and visually interpret technical data.Occasionally exposed to bloodborne or airborne pathogens or infectious materials.Work is primarily performed in a laboratory and office environment.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.Note to Recruiters:We value building direct relationships with our candidates and prefer to manage our hiring process internally. While we occasionally partner with select recruitment agencies for specialized roles, we do not accept unsolicited resumes from recruiters or agencies without a written agreement executed by the authorized signatory for Baylor Genetics (\"Agreement\"). Any resumes submitted to Baylor Genetics in the absence of an Agreement executed by Baylor Genetics' authorized signatory, will be considered the property of Baylor Genetics, and Baylor Genetics will not be obligated to pay any associated recruitment fees. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.","datePosted":"2026-08-15T09:27:13.505Z","dateModified":"2026-08-15T09:27:13.505Z","hiringOrganization":{"@type":"Organization","name":"Baylor Genetics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f1d20f508bf914a93808ec12"},"url":"https://jobsearcher.com/jobs/f1d20f508bf914a93808ec12"}}