We are seeking a highly experienced and innovative Senior NGS Algorithm Developer to lead the design and optimization of computational pipelines for next-generation sequencing (NGS) data. This role focuses on the detection and interpretation of a wide range of genomic features, including small variants (SNVs/Indels), copy number variants (CNVs), short tandem repeats (STRs), methylation patterns, and variants in homologous and homopolymer regions. Expertise in cancer genomics, somatic variant detection, and secondary analysis of NGS data required. 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. This role may be performed remotely, hybrid, or onsite, based on candidate preference and business needs.