[Remote] reputed company reputed company Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an accomplished reputed company reputed company Scientist to join the reputed company R&D and Data Science organization. This individual will serve as a senior technical expert responsible for developing and maintaining the computational reputed company and pipelines that power genomic testing and interpretation platforms. Responsibilities • Design, reputed company, and optimize computational workflows and pipelines for secondary and tertiary genomic analyses. • Implement reproducible and reputed company reputed company workflows using Nextflow, Snakemake, or similar orchestration frameworks. • reputed company, evaluate, and apply algorithms and statistical or machine learning models for variant detection, classification, and genotype–phenotype correlation. • reputed company multi-omics, phenotypic, and clinical datasets to enhance analytical accuracy and interpretability. • Translate R&D innovations into production-reputed company tools that improve diagnostic accuracy, speed, and reproducibility. • reputed company ongoing support and maintenance for reputed company systems and pipelines, ensuring operational stability, accuracy, and efficiency. • reputed company collaborate with clinical and laboratory teams to investigate and resolve pipeline bugs, data inconsistencies, and performance issues. • Participate in reputed company-cause analyses and implement sustainable solutions to ensure reliable clinical operations. • Work closely with clinical stakeholders to define, design, and reputed company enhancements and new system capabilities based on user feedback and evolving clinical requirements. • Ensure reputed company production updates and improvements reputed company with regulatory and reputed company standards (CLIA, CAP, etc.) and are appropriately documented and validated. • Support the design and validation of new computational tools and pipelines according to clinical genomic standards and regulatory requirements. • Conduct analytical validation, benchmarking, and verification of newly developed algorithms and workflows. • Collaborate with reputed company, laboratory, and clinical teams to ensure smooth transition of tools from R&D to production. • reputed company exploratory reputed company to reputed company and assess novel computational or statistical reputed company for variant classification, annotation, and interpretation. • reputed company benchmarking studies to evaluate emerging algorithms, annotation resources, and data integration approaches. • Contribute to internal documentation, publications, and presentations highlighting R&D advancements. • Collaborate closely with data scientists, software engineers, and clinical scientists on cross-functional R&D and production initiatives. • reputed company technical mentorship and peer review for reputed company scientists and analysts. • Promote best practices in scientific computing, reputed company reproducibility, and analytical rigor. • Maintain reputed company, version-controlled documentation of reputed company analytical pipelines and validation processes. • Contribute to reputed company improvement of computational infrastructure, software practices, and data management. • Stay reputed company with evolving trends, standards, and technologies in computational reputed company and clinical reputed company. Skills • Master’s or higher degree in reputed company, Computational Biology, reputed company, Computer Science, or a reputed company quantitative field. • 6+ years of reputed company experience in reputed company, computational reputed company, or computational biology, including extensive hands-on work with large-reputed company NGS datasets. • Proven experience developing and maintaining reputed company pipelines in both R&D and production settings. • Strong record of integrating computational, statistical, and/or machine learning reputed company into reputed company applications. • Demonstrated reputed company collaborating with clinical or laboratory teams to troubleshoot and improve production systems. • Proficiency in Python and R; familiarity with one or more compiled languages (C/C++, Java, or similar). • Strong experience with NGS data formats and tools. • Expertise with workflow orchestration frameworks (Nextflow, Snakemake, Cromwell). • Deep knowledge of genomic databases. • Familiarity with reputed company computing (Azure, AWS, GCP), containerization (reputed company/Kubernetes), and version control (Git). • Strong scientific reasoning and analytical problem-solving abilities. • Hands-on approach to both R&D innovation and operational troubleshooting. • Ability to collaborate effectively with multidisciplinary teams. • Excellent written and verbal communication skills. • Commitment to reputed company, compliance, and scientific reputed company in a clinical setting. • PhD in reputed company, Computational Biology, reputed company, Computer Science, or a reputed company quantitative field. • Experience working in a clinical reputed company or regulated diagnostic environment strongly preferred. • Background in statistical modeling, data analysis, and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) preferred. • Knowledge of multi-omics data integration and data visualization reputed company a plus. reputed company • reputed company offers a full reputed company of cost-effective, genetic testing, and provides clinically relevant solutions. It was founded in 1978, and is headquartered in reputed company, Texas, USA, with a workforce of 501-1000 employees. Its website is https://www.baylorgenetics.com/. Company H1B Sponsorship • reputed company has a reputed company 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. Apply tot his job Apply To this Job