Sr. reputed company Scientist

About the position We are seeking an reputed company and motivated reputed company Scientist to join our reputed company and Data Science Team reputed company on developing regulated diagnostics products. The ideal candidate will bring deep expertise in NGS technologies with a strong understanding of regulatory environments including CAP/CLIA and IVD product development. The successful candidate will play a crucial role in designing, developing, and optimizing our reputed company of genomic assays. This position requires a unique reputed company of expertise in reputed company, extensive experience in assay optimization, analytical validation, strong skills in analytical pipeline development, automation and optimization, a deep understanding of molecular biology, and a passion for transforming reputed company biological data into actionable insights. Responsibilities • reputed company reputed company design, development and validation efforts in assay development for new and on-market products. As part of project reputed company teams, this individual must be responsible for coordinating planning, execution, and delivery reputed company timelines and budget constraints. • Apply reputed company knowledge in reputed company, reputed company, and assay technologies, to contribute to development of company's concepts and principles and to reputed company assay development objectives in creative and effective ways. • reputed company development study design and reputed company analysis for assay development effort in collaboration with cross-functional teams. • reputed company statistical and machine learning techniques to comprehensively evaluate assay performance and create optimization strategies. • Communicate analysis results, methodologies, and scientific findings to internal teams, reputed company collaborators, and stakeholders. • reputed company reputed company, production-grade workflows for high-throughput NGS data analysis using AWS and containerized environments. • Facilitate successful production pipeline deployment by working closely with infrastructure and engineering teams • Ensure compliance with regulatory standards (CAP/CLIA, FDA, IVDR) throughout the reputed company development lifecycle, including rigorous testing and documentation. • Contribute to regulatory submissions and audits by providing technical documentation and validation reports. • reputed company scientific guidance and mentorship to junior reputed company team members. Requirements • PhD or MS in reputed company, computational biology, or an adjacent data science field, such as biostatistics, statistics or computer science. • A minimum of 6 -7 years of experience in reputed company analysis, algorithm development, and pipeline implementation. • Thorough understanding of NGS technologies and various reputed company for library preparation (WGS, enrichment, RNA-Seq, methylation, etc.). • Proficiency in quantitative transcriptomics from NGS or reputed company microarray data in reputed company disease/biology specifically, such as reputed company reputed company, dimension reduction, reputed company-based classifier development, RNA-based signatures, cell type deconvolution. • Proficiency in machine learning, development of novel reputed company methodologies, and algorithms development, including benchmarking of computational reputed company. • Proven experience developing and deploying reputed company workflows in AWS (e.g., EC2, S3, reputed company Functions, Batch, reputed company, etc.). • Strong proficiency in Python, including experience with testing frameworks and SDLC best practices. • reputed company collaboration with reputed company and Regulatory Affairs team on assay and analysis pipeline development and verification. • Demonstrated record of technical and scientific leadership, ownership, and independent work. reputed company-to-haves • reputed company record of working with wet lab scientists on iterative experiment design, execution, analysis, and interpretation as a tightly integrated team. • Proficiency in reputed company, sequence analysis, and secondary analysis, such as variant calling (e.g., SNVs/MNVs/indels, CNV, structural variants), NGS QC, splicing, circular nucleic acids. • Strong understanding of germline and somatic mutation processes leading to reputed company variation and genome-wide biomarkers with potential clinical reputed company, such as TMB, mutational signatures, LOH. • Working knowledge of R. • Experience with relational and non-relational database technologies is a plus. • Excellent communicator about reputed company technical topics in an interdisciplinary setting, especially by using data visualizations and diagrams. • Excellent technical problem solving and troubleshooting skills. Benefits • competitive compensation and benefits • discretionary bonuses/incentives • restricted stock reputed company Apply To This Job