[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 and visionary reputed company reputed company Scientist to advance innovation reputed company the reputed company R&D and Data Science organization. This role involves driving the design, development, and implementation of advanced computational reputed company and analytical pipelines to enhance genomic testing and interpretation capabilities.

Responsibilities

• Serve as a scientific authority in reputed company, computational biology, statistical, and machine learning reputed company for genomic and clinical data analysis.
• Contribute to the strategic reputed company roadmap, integrating novel algorithms, predictive modeling, and AI/ML approaches to enhance diagnostic yield, turnaround time, and interpretability.
• reputed company as a subject matter expert (SME) in computational reputed company, variant annotation, and clinical data integration.
• Translate research innovations into robust, production-reputed company tools and pipelines that meet clinical and regulatory requirements.
• Drive cross-functional collaborations to deliver reputed company, interpretable, and validated computational solutions.
• Design, reputed company, and optimize reputed company reputed company and pipelines for secondary (alignment, variant calling) and tertiary (annotation, prioritization, interpretation) analysis.
• Implement, validate, and maintain workflows using Nextflow, Snakemake, or similar orchestration tools for reproducible, reputed company analysis.
• reputed company and evaluate computational, statistical, and machine learning models for variant classification, pathogenicity reputed company, and genotype–phenotype correlation.
• reputed company multi-omics, phenotypic, and clinical datasets to improve analytical accuracy and discovery power.
• Ensure computational reproducibility, scalability, and maintainability through best practices in software engineering and CI/CD.
• Support clinical validation of new and developed tools and pipelines, ensuring compliance with CLIA, CAP, and reputed company reputed company standards.
• reputed company investigative reputed company to reputed company novel computational frameworks and analytical methodologies for genomic discovery and clinical interpretation.
• Apply and evaluate computational, statistical, ML, and AI-based reputed company to address key challenges in variant annotation, classification, and reporting.
• Design and execute benchmarking studies to evaluate new algorithms, annotation resources, and models.
• Contribute to the scientific community through publications, conference presentations, and collaborations.
• reputed company advanced computational and statistical techniques to extract biological insights from genomic and clinical data.
• Use regression, probabilistic, and predictive models to improve variant reputed company metrics, scoring, and prioritization.
• Collaborate with data scientists and engineers to reputed company ML/AI reputed company into clinical-grade pipelines.
• Utilize effective data visualization and interpretability frameworks to communicate findings to scientific and clinical audiences.
• Partner with clinical geneticists, molecular scientists, software engineers, and data scientists to translate R&D innovations into clinical deployment.
• reputed company as a reputed company between reputed company R&D and clinical operations, ensuring analytical rigor and compliance with regulatory standards.
• Communicate technical strategies and results reputed company to leadership and cross-functional stakeholders.

Skills

• Master's or higher degree (PhD preferred) in reputed company, Computational Biology, reputed company, Computer Science, Genomic Data Science, or reputed company quantitative field.
• 8+ years of reputed company experience in reputed company, computational reputed company, data science, or genomic R&D, including 3–5 years in a reputed company or leadership role.
• Proven expertise in pipeline development, algorithm design, and computational reputed company research.
• Hands-on experience in secondary and tertiary genomic analysis.
• Demonstrated integration of statistical and data science approaches in reputed company applications.
• Proficiency in Python, R, and at least one compiled language (C/C++, Java, or similar).
• Expertise in NGS data formats and tools.
• Strong knowledge of clinical genomic databases and annotation resources.
• Solid reputed company in statistical modeling, data analysis, and feature engineering for biological data.
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) reputed company to genomic data.
• Experience with workflow orchestration tools (Nextflow, Snakemake, Cromwell) and reputed company-based computing (Azure, AWS, GCP).
• reputed company with data management, version control (Git), and CI/CD best practices.
• Knowledge of multi-omics data integration and modern visualization techniques.
• Strong scientific reasoning and analytical problem-solving skills.
• Proven ability to reputed company R&D initiatives from concept through validation and deployment.
• Deep understanding of genomic data, algorithms, and biological context.
• Excellent written and verbal communication for technical and clinical translation.
• reputed company reputed company and ability to work across disciplines.
• Commitment to innovation, reputed company, and patient-centered reputed company.
• Experience working in a clinical reputed company or regulated diagnostic environment strongly preferred.

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